Overview

Dataset statistics

Number of variables255
Number of observations1000
Missing cells119
Missing cells (%)< 0.1%
Total size in memory16.5 MiB
Average record size in memory16.9 KiB

Variable types

Numeric1
Text254

Alerts

year_ending has constant value ""Constant
construction_status has constant value ""Constant
metered_areas_energy has constant value ""Constant
national_median_energy_star has constant value ""Constant
fuel_oil_1_use_kbtu has constant value ""Constant
fuel_oil_5_6_use_kbtu has constant value ""Constant
kerosene_use_kbtu has constant value ""Constant
propane_use_kbtu has constant value ""Constant
costar_property_id has constant value ""Constant
ambulatory_surgical_center has constant value ""Constant
automobile_dealership_gross has constant value ""Constant
barracks_gross_floor_area has constant value ""Constant
convention_center_gross_floor has constant value ""Constant
courthouse_gross_floor_area has constant value ""Constant
data_center_pue has constant value ""Constant
data_center_national_median has constant value ""Constant
distribution_center_gross has constant value ""Constant
enclosed_mall_gross_floor has constant value ""Constant
energy_power_station_gross has constant value ""Constant
outpatient_rehabilitation has constant value ""Constant
mailing_center_post_office has constant value ""Constant
movie_theater_gross_floor has constant value ""Constant
manufacturing_industrial has constant value ""Constant
wastewater_treatment_plant has constant value ""Constant
worship_facility_gross_floor has constant value ""Constant
estimated_data_flag_fuel has constant value ""Constant
alert_data_center_issue_with has constant value ""Constant
alert_gross_floor_area_is has constant value ""Constant
alert_property_has_no_uses has constant value ""Constant
alert_energy_meter_has_gaps has constant value ""Constant
alert_energy_meter_has has constant value ""Constant
alert_energy_no_meters has constant value ""Constant
outdoor_water_use_all_water has constant value ""Constant
municipally_supplied_potable_3 has constant value ""Constant
borough has 17 (1.7%) missing valuesMissing
latitude has 17 (1.7%) missing valuesMissing
longitude has 17 (1.7%) missing valuesMissing
community_board has 17 (1.7%) missing valuesMissing
council_district has 17 (1.7%) missing valuesMissing
census_tract has 17 (1.7%) missing valuesMissing
nta has 17 (1.7%) missing valuesMissing
0 has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:58:18.720584
Analysis finished2023-12-09 20:58:28.160826
Duration9.44 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:58:28.613105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:58:28.775538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:58:29.616932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.98
Min length4

Characters and Unicode

Total characters6980
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row7365
2nd row8139
3rd row8604
4th row8841
5th row11809
ValueCountFrequency (%)
1409171 2
 
0.2%
1712194 2
 
0.2%
1439975 2
 
0.2%
1436015 2
 
0.2%
1634496 1
 
0.1%
1836372 1
 
0.1%
1633036 1
 
0.1%
1633187 1
 
0.1%
1836378 1
 
0.1%
1633579 1
 
0.1%
Other values (986) 986
98.6%
2023-12-09T20:58:30.195860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1717
24.6%
1 1345
19.3%
6 1207
17.3%
4 747
10.7%
2 359
 
5.1%
7 353
 
5.1%
5 352
 
5.0%
0 331
 
4.7%
9 294
 
4.2%
8 275
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6980
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1717
24.6%
1 1345
19.3%
6 1207
17.3%
4 747
10.7%
2 359
 
5.1%
7 353
 
5.1%
5 352
 
5.0%
0 331
 
4.7%
9 294
 
4.2%
8 275
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Common 6980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1717
24.6%
1 1345
19.3%
6 1207
17.3%
4 747
10.7%
2 359
 
5.1%
7 353
 
5.1%
5 352
 
5.0%
0 331
 
4.7%
9 294
 
4.2%
8 275
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1717
24.6%
1 1345
19.3%
6 1207
17.3%
4 747
10.7%
2 359
 
5.1%
7 353
 
5.1%
5 352
 
5.0%
0 331
 
4.7%
9 294
 
4.2%
8 275
 
3.9%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size68.7 KiB
2023-12-09T20:58:30.548231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length44
Median length12
Mean length13.268
Min length3

Characters and Unicode

Total characters13268
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row1155
2nd row200
3rd row114
4th row733
5th rowConde Nast Building
ValueCountFrequency (%)
avenue 33
 
2.4%
22
 
1.6%
street 16
 
1.2%
madison 12
 
0.9%
park 11
 
0.8%
fifth 10
 
0.7%
of 10
 
0.7%
plaza 10
 
0.7%
ave 9
 
0.6%
the 8
 
0.6%
Other values (1129) 1246
89.8%
2023-12-09T20:58:31.035435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3480
26.2%
1 1229
 
9.3%
- 888
 
6.7%
2 837
 
6.3%
3 745
 
5.6%
4 675
 
5.1%
5 523
 
3.9%
6 395
 
3.0%
388
 
2.9%
8 384
 
2.9%
Other values (60) 3724
28.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9004
67.9%
Lowercase Letter 1477
 
11.1%
Uppercase Letter 1430
 
10.8%
Dash Punctuation 888
 
6.7%
Space Separator 388
 
2.9%
Other Punctuation 51
 
0.4%
Close Punctuation 15
 
0.1%
Open Punctuation 15
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 285
19.9%
Q 227
15.9%
X 176
12.3%
M 167
11.7%
R 76
 
5.3%
A 70
 
4.9%
S 52
 
3.6%
P 47
 
3.3%
L 44
 
3.1%
C 41
 
2.9%
Other values (16) 245
17.1%
Lowercase Letter
ValueCountFrequency (%)
e 246
16.7%
a 140
9.5%
n 139
9.4%
t 121
 
8.2%
i 104
 
7.0%
r 102
 
6.9%
o 87
 
5.9%
s 73
 
4.9%
u 63
 
4.3%
l 60
 
4.1%
Other values (15) 342
23.2%
Decimal Number
ValueCountFrequency (%)
0 3480
38.6%
1 1229
 
13.6%
2 837
 
9.3%
3 745
 
8.3%
4 675
 
7.5%
5 523
 
5.8%
6 395
 
4.4%
8 384
 
4.3%
9 374
 
4.2%
7 362
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 23
45.1%
. 17
33.3%
& 8
 
15.7%
' 2
 
3.9%
/ 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 888
100.0%
Space Separator
ValueCountFrequency (%)
388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10361
78.1%
Latin 2907
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 285
 
9.8%
e 246
 
8.5%
Q 227
 
7.8%
X 176
 
6.1%
M 167
 
5.7%
a 140
 
4.8%
n 139
 
4.8%
t 121
 
4.2%
i 104
 
3.6%
r 102
 
3.5%
Other values (41) 1200
41.3%
Common
ValueCountFrequency (%)
0 3480
33.6%
1 1229
 
11.9%
- 888
 
8.6%
2 837
 
8.1%
3 745
 
7.2%
4 675
 
6.5%
5 523
 
5.0%
6 395
 
3.8%
388
 
3.7%
8 384
 
3.7%
Other values (9) 817
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3480
26.2%
1 1229
 
9.3%
- 888
 
6.7%
2 837
 
6.3%
3 745
 
5.6%
4 675
 
5.1%
5 523
 
3.9%
6 395
 
3.0%
388
 
2.9%
8 384
 
2.9%
Other values (60) 3724
28.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size89.9 KiB
2023-12-09T20:58:31.230880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.912
Min length5

Characters and Unicode

Total characters34912
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 997
25.0%
applicable 997
25.0%
standalone 997
25.0%
property 997
25.0%
28400 1
 
< 0.1%
1697745 1
 
< 0.1%
28402 1
 
< 0.1%
2023-12-09T20:58:31.549924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2991
 
8.6%
2991
 
8.6%
p 2991
 
8.6%
l 2991
 
8.6%
a 2991
 
8.6%
e 2991
 
8.6%
o 2991
 
8.6%
n 1994
 
5.7%
r 1994
 
5.7%
S 997
 
2.9%
Other values (18) 8990
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26919
77.1%
Uppercase Letter 3988
 
11.4%
Space Separator 2991
 
8.6%
Other Punctuation 997
 
2.9%
Decimal Number 17
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2991
11.1%
p 2991
11.1%
l 2991
11.1%
a 2991
11.1%
e 2991
11.1%
o 2991
11.1%
n 1994
7.4%
r 1994
7.4%
y 997
 
3.7%
d 997
 
3.7%
Other values (3) 2991
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
17.6%
4 3
17.6%
0 3
17.6%
8 2
11.8%
7 2
11.8%
1 1
 
5.9%
6 1
 
5.9%
9 1
 
5.9%
5 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
S 997
25.0%
P 997
25.0%
N 997
25.0%
A 997
25.0%
Space Separator
ValueCountFrequency (%)
2991
100.0%
Other Punctuation
ValueCountFrequency (%)
: 997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30907
88.5%
Common 4005
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2991
9.7%
p 2991
9.7%
l 2991
9.7%
a 2991
9.7%
e 2991
9.7%
o 2991
9.7%
n 1994
 
6.5%
r 1994
 
6.5%
S 997
 
3.2%
y 997
 
3.2%
Other values (7) 6979
22.6%
Common
ValueCountFrequency (%)
2991
74.7%
: 997
 
24.9%
2 3
 
0.1%
4 3
 
0.1%
0 3
 
0.1%
8 2
 
< 0.1%
7 2
 
< 0.1%
1 1
 
< 0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2991
 
8.6%
2991
 
8.6%
p 2991
 
8.6%
l 2991
 
8.6%
a 2991
 
8.6%
e 2991
 
8.6%
o 2991
 
8.6%
n 1994
 
5.7%
r 1994
 
5.7%
S 997
 
2.9%
Other values (18) 8990
25.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size89.9 KiB
2023-12-09T20:58:31.757053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length34.967
Min length21

Characters and Unicode

Total characters34967
Distinct characters31
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 997
24.9%
applicable 997
24.9%
standalone 997
24.9%
property 997
24.9%
nyp 2
 
< 0.1%
campus 2
 
< 0.1%
school 1
 
< 0.1%
of 1
 
< 0.1%
social 1
 
< 0.1%
work 1
 
< 0.1%
Other values (4) 4
 
0.1%
2023-12-09T20:58:32.081529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3000
 
8.6%
o 2998
 
8.6%
l 2996
 
8.6%
a 2996
 
8.6%
t 2993
 
8.6%
p 2993
 
8.6%
e 2993
 
8.6%
r 1996
 
5.7%
n 1995
 
5.7%
N 999
 
2.9%
Other values (21) 9008
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26963
77.1%
Uppercase Letter 4003
 
11.4%
Space Separator 3000
 
8.6%
Other Punctuation 997
 
2.9%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2998
11.1%
l 2996
11.1%
a 2996
11.1%
t 2993
11.1%
p 2993
11.1%
e 2993
11.1%
r 1996
7.4%
n 1995
7.4%
i 999
 
3.7%
c 999
 
3.7%
Other values (9) 3005
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
25.0%
P 999
25.0%
S 999
25.0%
A 997
24.9%
C 4
 
0.1%
W 2
 
< 0.1%
Y 2
 
< 0.1%
E 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
3000
100.0%
Other Punctuation
ValueCountFrequency (%)
: 997
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30966
88.6%
Common 4001
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2998
9.7%
l 2996
9.7%
a 2996
9.7%
t 2993
9.7%
p 2993
9.7%
e 2993
9.7%
r 1996
 
6.4%
n 1995
 
6.4%
N 999
 
3.2%
P 999
 
3.2%
Other values (17) 7008
22.6%
Common
ValueCountFrequency (%)
3000
75.0%
: 997
 
24.9%
( 2
 
< 0.1%
) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3000
 
8.6%
o 2998
 
8.6%
l 2996
 
8.6%
a 2996
 
8.6%
t 2993
 
8.6%
p 2993
 
8.6%
e 2993
 
8.6%
r 1996
 
5.7%
n 1995
 
5.7%
N 999
 
2.9%
Other values (21) 9008
25.8%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:58:32.271505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-31T00:00:00.000
2nd row2019-12-31T00:00:00.000
3rd row2019-12-31T00:00:00.000
4th row2019-12-31T00:00:00.000
5th row2019-12-31T00:00:00.000
ValueCountFrequency (%)
2019-12-31t00:00:00.000 1000
100.0%
2023-12-09T20:58:32.565148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
9 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
1 3000
 
17.6%
2 2000
 
11.8%
9 1000
 
5.9%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
1 3000
 
13.6%
2 2000
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
9 1000
 
4.5%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
9 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct994
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size65.8 KiB
2023-12-09T20:58:32.888820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length68
Median length10
Mean length10.235
Min length10

Characters and Unicode

Total characters10235
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique988 ?
Unique (%)98.8%

Sample

1st row1009970029
2nd row1013150001
3rd row1009990019
4th row1013190047
5th row1009950005
ValueCountFrequency (%)
1012930014 2
 
0.2%
4065070001 2
 
0.2%
2057160725 2
 
0.2%
3016160001 2
 
0.2%
2024460043 2
 
0.2%
5006310071 2
 
0.2%
3042160001 1
 
0.1%
2030580000 1
 
0.1%
4124950065 1
 
0.1%
1-01290-0021 1
 
0.1%
Other values (992) 992
98.4%
2023-12-09T20:58:33.597841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3942
38.5%
1 1535
 
15.0%
2 891
 
8.7%
3 861
 
8.4%
4 745
 
7.3%
5 537
 
5.2%
6 429
 
4.2%
7 403
 
3.9%
8 367
 
3.6%
9 362
 
3.5%
Other values (17) 163
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10072
98.4%
Dash Punctuation 130
 
1.3%
Lowercase Letter 10
 
0.1%
Other Punctuation 9
 
0.1%
Space Separator 8
 
0.1%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3942
39.1%
1 1535
 
15.2%
2 891
 
8.8%
3 861
 
8.5%
4 745
 
7.4%
5 537
 
5.3%
6 429
 
4.3%
7 403
 
4.0%
8 367
 
3.6%
9 362
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
v 1
10.0%
o 1
10.0%
t 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
K 2
33.3%
A 1
16.7%
N 1
16.7%
Other Punctuation
ValueCountFrequency (%)
; 5
55.6%
/ 2
 
22.2%
, 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10219
99.8%
Latin 16
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3942
38.6%
1 1535
 
15.0%
2 891
 
8.7%
3 861
 
8.4%
4 745
 
7.3%
5 537
 
5.3%
6 429
 
4.2%
7 403
 
3.9%
8 367
 
3.6%
9 362
 
3.5%
Other values (5) 147
 
1.4%
Latin
ValueCountFrequency (%)
l 2
12.5%
M 2
12.5%
K 2
12.5%
a 2
12.5%
i 1
6.2%
b 1
6.2%
e 1
6.2%
v 1
6.2%
A 1
6.2%
o 1
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3942
38.5%
1 1535
 
15.0%
2 891
 
8.7%
3 861
 
8.4%
4 745
 
7.3%
5 537
 
5.2%
6 429
 
4.2%
7 403
 
3.9%
8 367
 
3.6%
9 362
 
3.5%
Other values (17) 163
 
1.6%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size63.1 KiB
2023-12-09T20:58:33.931389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length123
Median length7
Mean length7.532
Min length7

Characters and Unicode

Total characters7532
Distinct characters35
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row1022631
2nd row1037545
3rd row1022667
4th row1037596
5th row1085682
ValueCountFrequency (%)
main 4
 
0.4%
bldg 4
 
0.4%
1086164 2
 
0.2%
4307108 2
 
0.2%
5147346 2
 
0.2%
1013884 2
 
0.2%
additon 2
 
0.2%
1045949 1
 
0.1%
3097973 1
 
0.1%
3006401 1
 
0.1%
Other values (1023) 1023
98.0%
2023-12-09T20:58:34.401153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1332
17.7%
1 986
13.1%
3 857
11.4%
4 836
11.1%
2 705
9.4%
5 587
7.8%
7 531
 
7.0%
8 523
 
6.9%
6 520
 
6.9%
9 445
 
5.9%
Other values (25) 210
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7322
97.2%
Lowercase Letter 76
 
1.0%
Other Punctuation 46
 
0.6%
Space Separator 44
 
0.6%
Uppercase Letter 23
 
0.3%
Dash Punctuation 21
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 12
15.8%
i 11
14.5%
a 10
13.2%
n 9
11.8%
l 7
9.2%
t 5
6.6%
b 5
6.6%
o 5
6.6%
m 4
 
5.3%
g 4
 
5.3%
Other values (3) 4
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 1332
18.2%
1 986
13.5%
3 857
11.7%
4 836
11.4%
2 705
9.6%
5 587
8.0%
7 531
 
7.3%
8 523
 
7.1%
6 520
 
7.1%
9 445
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
Q 6
26.1%
K 6
26.1%
X 5
21.7%
R 2
 
8.7%
M 2
 
8.7%
A 1
 
4.3%
N 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
; 26
56.5%
, 12
26.1%
: 8
 
17.4%
Space Separator
ValueCountFrequency (%)
44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7433
98.7%
Latin 99
 
1.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 12
12.1%
i 11
11.1%
a 10
10.1%
n 9
 
9.1%
l 7
 
7.1%
Q 6
 
6.1%
K 6
 
6.1%
X 5
 
5.1%
t 5
 
5.1%
b 5
 
5.1%
Other values (10) 23
23.2%
Common
ValueCountFrequency (%)
0 1332
17.9%
1 986
13.3%
3 857
11.5%
4 836
11.2%
2 705
9.5%
5 587
7.9%
7 531
 
7.1%
8 523
 
7.0%
6 520
 
7.0%
9 445
 
6.0%
Other values (5) 111
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1332
17.7%
1 986
13.1%
3 857
11.4%
4 836
11.1%
2 705
9.4%
5 587
7.8%
7 531
 
7.0%
8 523
 
6.9%
6 520
 
6.9%
9 445
 
5.9%
Other values (25) 210
 
2.8%
Distinct996
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size73.8 KiB
2023-12-09T20:58:34.774311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length27
Mean length18.486
Min length11

Characters and Unicode

Total characters18486
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique992 ?
Unique (%)99.2%

Sample

1st row1155 Avenue of the Americas
2nd row200 East 42nd St.
3rd row114 West 47th st
4th row733 Third Avenue
5th row4 Times Square
ValueCountFrequency (%)
avenue 439
 
13.6%
street 386
 
12.0%
east 94
 
2.9%
west 72
 
2.2%
road 33
 
1.0%
boulevard 29
 
0.9%
place 21
 
0.7%
ave 20
 
0.6%
park 17
 
0.5%
madison 16
 
0.5%
Other values (1347) 2103
65.1%
2023-12-09T20:58:35.295245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2242
 
12.1%
e 2241
 
12.1%
t 1500
 
8.1%
1 894
 
4.8%
r 831
 
4.5%
n 830
 
4.5%
0 682
 
3.7%
a 584
 
3.2%
u 559
 
3.0%
v 520
 
2.8%
Other values (55) 7603
41.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9784
52.9%
Decimal Number 4288
23.2%
Space Separator 2242
 
12.1%
Uppercase Letter 1936
 
10.5%
Dash Punctuation 226
 
1.2%
Other Punctuation 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2241
22.9%
t 1500
15.3%
r 831
 
8.5%
n 830
 
8.5%
a 584
 
6.0%
u 559
 
5.7%
v 520
 
5.3%
o 415
 
4.2%
s 402
 
4.1%
h 378
 
3.9%
Other values (16) 1524
15.6%
Uppercase Letter
ValueCountFrequency (%)
A 505
26.1%
S 453
23.4%
E 138
 
7.1%
W 116
 
6.0%
B 100
 
5.2%
P 92
 
4.8%
R 67
 
3.5%
H 58
 
3.0%
M 56
 
2.9%
C 48
 
2.5%
Other values (15) 303
15.7%
Decimal Number
ValueCountFrequency (%)
1 894
20.8%
0 682
15.9%
5 514
12.0%
2 512
11.9%
3 363
8.5%
4 329
 
7.7%
7 276
 
6.4%
6 259
 
6.0%
8 242
 
5.6%
9 217
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 9
90.0%
# 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11720
63.4%
Common 6766
36.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2241
19.1%
t 1500
12.8%
r 831
 
7.1%
n 830
 
7.1%
a 584
 
5.0%
u 559
 
4.8%
v 520
 
4.4%
A 505
 
4.3%
S 453
 
3.9%
o 415
 
3.5%
Other values (41) 3282
28.0%
Common
ValueCountFrequency (%)
2242
33.1%
1 894
 
13.2%
0 682
 
10.1%
5 514
 
7.6%
2 512
 
7.6%
3 363
 
5.4%
4 329
 
4.9%
7 276
 
4.1%
6 259
 
3.8%
8 242
 
3.6%
Other values (4) 453
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2242
 
12.1%
e 2241
 
12.1%
t 1500
 
8.1%
1 894
 
4.8%
r 831
 
4.5%
n 830
 
4.5%
0 682
 
3.7%
a 584
 
3.2%
u 559
 
3.0%
v 520
 
2.8%
Other values (55) 7603
41.1%
Distinct25
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:58:35.570723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length13
Mean length13.123
Min length1

Characters and Unicode

Total characters13123
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
48.0%
available 974
48.0%
street 13
 
0.6%
avenue 5
 
0.2%
long 3
 
0.1%
city 3
 
0.1%
island 3
 
0.1%
12 2
 
0.1%
boulevard 2
 
0.1%
east 2
 
0.1%
Other values (49) 50
 
2.5%
2023-12-09T20:58:35.980899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1961
14.9%
a 1960
14.9%
1031
7.9%
e 1021
7.8%
t 1020
7.8%
i 987
7.5%
v 984
7.5%
o 982
7.5%
A 982
7.5%
b 975
7.4%
Other values (38) 1220
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9984
76.1%
Uppercase Letter 2000
 
15.2%
Space Separator 1031
 
7.9%
Decimal Number 102
 
0.8%
Dash Punctuation 5
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1961
19.6%
a 1960
19.6%
e 1021
10.2%
t 1020
10.2%
i 987
9.9%
v 984
9.9%
o 982
9.8%
b 975
9.8%
r 21
 
0.2%
n 20
 
0.2%
Other values (9) 53
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
A 982
49.1%
N 974
48.7%
S 15
 
0.8%
B 6
 
0.3%
C 5
 
0.2%
L 4
 
0.2%
I 3
 
0.1%
W 2
 
0.1%
E 2
 
0.1%
J 1
 
< 0.1%
Other values (6) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 23
22.5%
0 17
16.7%
2 14
13.7%
6 10
9.8%
5 9
 
8.8%
8 8
 
7.8%
4 7
 
6.9%
3 5
 
4.9%
7 5
 
4.9%
9 4
 
3.9%
Space Separator
ValueCountFrequency (%)
1031
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11984
91.3%
Common 1139
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1961
16.4%
a 1960
16.4%
e 1021
8.5%
t 1020
8.5%
i 987
8.2%
v 984
8.2%
o 982
8.2%
A 982
8.2%
b 975
8.1%
N 974
8.1%
Other values (25) 138
 
1.2%
Common
ValueCountFrequency (%)
1031
90.5%
1 23
 
2.0%
0 17
 
1.5%
2 14
 
1.2%
6 10
 
0.9%
5 9
 
0.8%
8 8
 
0.7%
4 7
 
0.6%
3 5
 
0.4%
7 5
 
0.4%
Other values (3) 10
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13123
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1961
14.9%
a 1960
14.9%
1031
7.9%
e 1021
7.8%
t 1020
7.8%
i 987
7.5%
v 984
7.5%
o 982
7.5%
A 982
7.5%
b 975
7.4%
Other values (38) 1220
9.3%

city
Text

Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size63.0 KiB
2023-12-09T20:58:36.181672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length8
Mean length7.383
Min length2

Characters and Unicode

Total characters7383
Distinct characters44
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowManhattan
2nd rowManhattan
3rd rowManhattan
4th rowManhattan
5th rowManhattan
ValueCountFrequency (%)
brooklyn 284
21.5%
new 254
19.2%
york 254
19.2%
queens 218
16.5%
bronx 173
13.1%
island 58
 
4.4%
staten 56
 
4.2%
city 6
 
0.5%
manhattan 5
 
0.4%
long 2
 
0.2%
Other values (10) 12
 
0.9%
2023-12-09T20:58:36.513476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 989
13.4%
n 794
10.8%
e 743
 
10.1%
r 705
 
9.5%
k 531
 
7.2%
B 457
 
6.2%
l 339
 
4.6%
322
 
4.4%
y 288
 
3.9%
s 278
 
3.8%
Other values (34) 1937
26.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5644
76.4%
Uppercase Letter 1417
 
19.2%
Space Separator 322
 
4.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 457
32.3%
N 268
18.9%
Y 257
18.1%
Q 218
15.4%
S 60
 
4.2%
I 60
 
4.2%
O 14
 
1.0%
E 10
 
0.7%
R 10
 
0.7%
L 10
 
0.7%
Other values (14) 53
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
o 989
17.5%
n 794
14.1%
e 743
13.2%
r 705
12.5%
k 531
9.4%
l 339
 
6.0%
y 288
 
5.1%
s 278
 
4.9%
w 250
 
4.4%
u 220
 
3.9%
Other values (9) 507
9.0%
Space Separator
ValueCountFrequency (%)
322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7061
95.6%
Common 322
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 989
14.0%
n 794
11.2%
e 743
10.5%
r 705
10.0%
k 531
 
7.5%
B 457
 
6.5%
l 339
 
4.8%
y 288
 
4.1%
s 278
 
3.9%
N 268
 
3.8%
Other values (33) 1669
23.6%
Common
ValueCountFrequency (%)
322
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7383
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 989
13.4%
n 794
10.8%
e 743
 
10.1%
r 705
 
9.5%
k 531
 
7.2%
B 457
 
6.2%
l 339
 
4.6%
322
 
4.4%
y 288
 
3.9%
s 278
 
3.8%
Other values (34) 1937
26.2%
Distinct184
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:58:36.928946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st row10036
2nd row10017
3rd row10036
4th row10017
5th row10036
ValueCountFrequency (%)
10022 27
 
2.7%
10457 18
 
1.8%
11207 17
 
1.7%
11221 16
 
1.6%
11206 16
 
1.6%
10019 16
 
1.6%
10002 16
 
1.6%
11212 16
 
1.6%
10456 16
 
1.6%
10460 14
 
1.4%
Other values (174) 828
82.8%
2023-12-09T20:58:37.472988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 580
 
11.6%
3 423
 
8.5%
4 367
 
7.3%
5 225
 
4.5%
6 219
 
4.4%
7 180
 
3.6%
8 95
 
1.9%
9 87
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 580
 
11.6%
3 423
 
8.5%
4 367
 
7.3%
5 225
 
4.5%
6 219
 
4.4%
7 180
 
3.6%
8 95
 
1.9%
9 87
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 5000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 580
 
11.6%
3 423
 
8.5%
4 367
 
7.3%
5 225
 
4.5%
6 219
 
4.4%
7 180
 
3.6%
8 95
 
1.9%
9 87
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1839
36.8%
0 985
19.7%
2 580
 
11.6%
3 423
 
8.5%
4 367
 
7.3%
5 225
 
4.5%
6 219
 
4.4%
7 180
 
3.6%
8 95
 
1.9%
9 87
 
1.7%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:58:37.703998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.804
Min length5

Characters and Unicode

Total characters10804
Distinct characters42
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
school 860
44.9%
k-12 859
44.8%
office 102
 
5.3%
retail 13
 
0.7%
store 13
 
0.7%
financial 6
 
0.3%
hospital 5
 
0.3%
general 5
 
0.3%
medical 5
 
0.3%
5
 
0.3%
Other values (20) 44
 
2.3%
2023-12-09T20:58:38.060438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1761
16.3%
c 981
9.1%
917
8.5%
l 915
8.5%
S 883
8.2%
h 863
8.0%
K 859
8.0%
1 859
8.0%
2 859
8.0%
- 859
8.0%
Other values (32) 1048
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5369
49.7%
Uppercase Letter 1918
 
17.8%
Decimal Number 1718
 
15.9%
Space Separator 917
 
8.5%
Dash Punctuation 859
 
8.0%
Other Punctuation 11
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1761
32.8%
c 981
18.3%
l 915
17.0%
h 863
16.1%
f 207
 
3.9%
e 174
 
3.2%
i 172
 
3.2%
a 63
 
1.2%
t 59
 
1.1%
r 46
 
0.9%
Other values (11) 128
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
S 883
46.0%
K 859
44.8%
O 108
 
5.6%
C 14
 
0.7%
R 13
 
0.7%
H 11
 
0.6%
M 10
 
0.5%
F 6
 
0.3%
G 5
 
0.3%
U 5
 
0.3%
Other values (3) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 859
50.0%
2 859
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
54.5%
& 5
45.5%
Space Separator
ValueCountFrequency (%)
917
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 859
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7287
67.4%
Common 3517
32.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1761
24.2%
c 981
13.5%
l 915
12.6%
S 883
12.1%
h 863
11.8%
K 859
11.8%
f 207
 
2.8%
e 174
 
2.4%
i 172
 
2.4%
O 108
 
1.5%
Other values (24) 364
 
5.0%
Common
ValueCountFrequency (%)
917
26.1%
1 859
24.4%
2 859
24.4%
- 859
24.4%
/ 6
 
0.2%
) 6
 
0.2%
( 6
 
0.2%
& 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1761
16.3%
c 981
9.1%
917
8.5%
l 915
8.5%
S 883
8.2%
h 863
8.0%
K 859
8.0%
1 859
8.0%
2 859
8.0%
- 859
8.0%
Other values (32) 1048
9.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:58:38.278352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.813
Min length5

Characters and Unicode

Total characters10813
Distinct characters43
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
school 859
44.7%
k-12 858
44.7%
office 101
 
5.3%
retail 13
 
0.7%
store 13
 
0.7%
7
 
0.4%
financial 6
 
0.3%
hospital 6
 
0.3%
general 5
 
0.3%
medical 5
 
0.3%
Other values (22) 48
 
2.5%
2023-12-09T20:58:38.632960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1762
16.3%
c 980
9.1%
921
8.5%
l 915
8.5%
S 883
8.2%
h 863
8.0%
- 860
8.0%
K 858
7.9%
1 858
7.9%
2 858
7.9%
Other values (33) 1055
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5377
49.7%
Uppercase Letter 1918
 
17.7%
Decimal Number 1716
 
15.9%
Space Separator 921
 
8.5%
Dash Punctuation 860
 
8.0%
Other Punctuation 9
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1762
32.8%
c 980
18.2%
l 915
17.0%
h 863
16.0%
f 205
 
3.8%
e 175
 
3.3%
i 172
 
3.2%
a 64
 
1.2%
t 60
 
1.1%
r 47
 
0.9%
Other values (11) 134
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
S 883
46.0%
K 858
44.7%
O 107
 
5.6%
R 13
 
0.7%
C 12
 
0.6%
H 12
 
0.6%
M 11
 
0.6%
F 6
 
0.3%
G 5
 
0.3%
U 5
 
0.3%
Other values (4) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 858
50.0%
2 858
50.0%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
/ 4
44.4%
Space Separator
ValueCountFrequency (%)
921
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7295
67.5%
Common 3518
32.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1762
24.2%
c 980
13.4%
l 915
12.5%
S 883
12.1%
h 863
11.8%
K 858
11.8%
f 205
 
2.8%
e 175
 
2.4%
i 172
 
2.4%
O 107
 
1.5%
Other values (25) 375
 
5.1%
Common
ValueCountFrequency (%)
921
26.2%
- 860
24.4%
1 858
24.4%
2 858
24.4%
) 6
 
0.2%
( 6
 
0.2%
& 5
 
0.1%
/ 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1762
16.3%
c 980
9.1%
921
8.5%
l 915
8.5%
S 883
8.2%
h 863
8.0%
- 860
8.0%
K 858
7.9%
1 858
7.9%
2 858
7.9%
Other values (33) 1055
9.8%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size92.3 KiB
2023-12-09T20:58:38.834077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length39
Mean length37.423
Min length11

Characters and Unicode

Total characters37423
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowCBECS - Office & Bank/Financial
2nd rowCBECS - Office & Bank/Financial
3rd rowCBECS - Office & Bank/Financial
4th rowCBECS - Office & Bank/Financial
5th rowCBECS - Office & Bank/Financial
ValueCountFrequency (%)
1953
33.7%
cbecs 988
17.0%
elementary/middle 858
14.8%
high 858
14.8%
school 858
14.8%
office 101
 
1.7%
bank/financial 101
 
1.7%
retail 13
 
0.2%
store 13
 
0.2%
survey 12
 
0.2%
Other values (16) 43
 
0.7%
2023-12-09T20:58:39.166124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4798
 
12.8%
e 2740
 
7.3%
l 2710
 
7.2%
i 2053
 
5.5%
C 1979
 
5.3%
S 1876
 
5.0%
E 1853
 
5.0%
o 1743
 
4.7%
d 1725
 
4.6%
h 1720
 
4.6%
Other values (29) 14226
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20930
55.9%
Uppercase Letter 8777
23.5%
Space Separator 4798
 
12.8%
Other Punctuation 1927
 
5.1%
Dash Punctuation 991
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2740
13.1%
l 2710
12.9%
i 2053
9.8%
o 1743
8.3%
d 1725
8.2%
h 1720
8.2%
a 1193
 
5.7%
n 1188
 
5.7%
c 1066
 
5.1%
t 915
 
4.4%
Other values (11) 3877
18.5%
Uppercase Letter
ValueCountFrequency (%)
C 1979
22.5%
S 1876
21.4%
E 1853
21.1%
B 1089
12.4%
H 867
9.9%
M 867
9.9%
O 105
 
1.2%
F 104
 
1.2%
R 13
 
0.1%
I 11
 
0.1%
Other values (4) 13
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 965
50.1%
& 962
49.9%
Space Separator
ValueCountFrequency (%)
4798
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29707
79.4%
Common 7716
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2740
 
9.2%
l 2710
 
9.1%
i 2053
 
6.9%
C 1979
 
6.7%
S 1876
 
6.3%
E 1853
 
6.2%
o 1743
 
5.9%
d 1725
 
5.8%
h 1720
 
5.8%
a 1193
 
4.0%
Other values (25) 10115
34.0%
Common
ValueCountFrequency (%)
4798
62.2%
- 991
 
12.8%
/ 965
 
12.5%
& 962
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4798
 
12.8%
e 2740
 
7.3%
l 2710
 
7.2%
i 2053
 
5.5%
C 1979
 
5.3%
S 1876
 
5.0%
E 1853
 
5.0%
o 1743
 
4.7%
d 1725
 
4.6%
h 1720
 
4.6%
Other values (29) 14226
38.0%
Distinct94
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size70.8 KiB
2023-12-09T20:58:39.403755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length157
Median length11
Mean length15.32
Min length5

Characters and Unicode

Total characters15320
Distinct characters51
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)6.9%

Sample

1st rowBank Branch, Office
2nd rowBank Branch, Office, Retail Store
3rd rowFinancial Office
4th rowOffice
5th rowOffice, Retail Store
ValueCountFrequency (%)
school 860
34.7%
k-12 859
34.6%
office 136
 
5.5%
store 53
 
2.1%
retail 46
 
1.9%
restaurant 39
 
1.6%
data 36
 
1.5%
parking 36
 
1.5%
center 36
 
1.5%
financial 28
 
1.1%
Other values (68) 352
14.2%
2023-12-09T20:58:39.826501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1938
12.7%
1481
 
9.7%
c 1098
 
7.2%
l 1051
 
6.9%
S 974
 
6.4%
h 927
 
6.1%
- 872
 
5.7%
K 859
 
5.6%
1 859
 
5.6%
2 859
 
5.6%
Other values (41) 4402
28.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8408
54.9%
Uppercase Letter 2490
 
16.3%
Decimal Number 1718
 
11.2%
Space Separator 1481
 
9.7%
Dash Punctuation 872
 
5.7%
Other Punctuation 335
 
2.2%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1938
23.0%
c 1098
13.1%
l 1051
12.5%
h 927
11.0%
e 582
 
6.9%
a 467
 
5.6%
i 438
 
5.2%
t 413
 
4.9%
n 322
 
3.8%
r 301
 
3.6%
Other values (12) 871
10.4%
Uppercase Letter
ValueCountFrequency (%)
S 974
39.1%
K 859
34.5%
O 166
 
6.7%
R 91
 
3.7%
P 71
 
2.9%
C 67
 
2.7%
F 65
 
2.6%
B 50
 
2.0%
H 46
 
1.8%
D 41
 
1.6%
Other values (9) 60
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 299
89.3%
/ 29
 
8.7%
& 5
 
1.5%
. 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 859
50.0%
2 859
50.0%
Space Separator
ValueCountFrequency (%)
1481
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10898
71.1%
Common 4422
28.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1938
17.8%
c 1098
10.1%
l 1051
9.6%
S 974
8.9%
h 927
8.5%
K 859
 
7.9%
e 582
 
5.3%
a 467
 
4.3%
i 438
 
4.0%
t 413
 
3.8%
Other values (31) 2151
19.7%
Common
ValueCountFrequency (%)
1481
33.5%
- 872
19.7%
1 859
19.4%
2 859
19.4%
, 299
 
6.8%
/ 29
 
0.7%
( 8
 
0.2%
) 8
 
0.2%
& 5
 
0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1938
12.7%
1481
 
9.7%
c 1098
 
7.2%
l 1051
 
6.9%
S 974
 
6.4%
h 927
 
6.1%
- 872
 
5.7%
K 859
 
5.6%
1 859
 
5.6%
2 859
 
5.6%
Other values (41) 4402
28.7%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size66.3 KiB
2023-12-09T20:58:40.030342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length11
Mean length10.789
Min length5

Characters and Unicode

Total characters10789
Distinct characters41
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowOffice
2nd rowOffice
3rd rowFinancial Office
4th rowOffice
5th rowOffice
ValueCountFrequency (%)
school 859
44.8%
k-12 858
44.8%
office 103
 
5.4%
retail 13
 
0.7%
store 13
 
0.7%
7
 
0.4%
financial 6
 
0.3%
hospital 6
 
0.3%
general 5
 
0.3%
medical 5
 
0.3%
Other values (19) 42
 
2.2%
2023-12-09T20:58:40.379437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1760
16.3%
c 982
9.1%
917
8.5%
l 915
8.5%
S 883
8.2%
h 863
8.0%
- 860
8.0%
K 858
8.0%
1 858
8.0%
2 858
8.0%
Other values (31) 1035
9.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5361
49.7%
Uppercase Letter 1914
 
17.7%
Decimal Number 1716
 
15.9%
Space Separator 917
 
8.5%
Dash Punctuation 860
 
8.0%
Other Punctuation 9
 
0.1%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1760
32.8%
c 982
18.3%
l 915
17.1%
h 863
16.1%
f 209
 
3.9%
i 172
 
3.2%
e 171
 
3.2%
a 64
 
1.2%
t 58
 
1.1%
r 43
 
0.8%
Other values (10) 124
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
S 883
46.1%
K 858
44.8%
O 109
 
5.7%
R 13
 
0.7%
C 12
 
0.6%
H 12
 
0.6%
M 9
 
0.5%
F 6
 
0.3%
G 5
 
0.3%
U 3
 
0.2%
Other values (3) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 858
50.0%
2 858
50.0%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
/ 4
44.4%
Space Separator
ValueCountFrequency (%)
917
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 860
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7275
67.4%
Common 3514
32.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1760
24.2%
c 982
13.5%
l 915
12.6%
S 883
12.1%
h 863
11.9%
K 858
11.8%
f 209
 
2.9%
i 172
 
2.4%
e 171
 
2.4%
O 109
 
1.5%
Other values (23) 353
 
4.9%
Common
ValueCountFrequency (%)
917
26.1%
- 860
24.5%
1 858
24.4%
2 858
24.4%
( 6
 
0.2%
) 6
 
0.2%
& 5
 
0.1%
/ 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10789
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1760
16.3%
c 982
9.1%
917
8.5%
l 915
8.5%
S 883
8.2%
h 863
8.0%
- 860
8.0%
K 858
8.0%
1 858
8.0%
2 858
8.0%
Other values (31) 1035
9.6%
Distinct716
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T20:58:40.802227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length6
Mean length5.714
Min length4

Characters and Unicode

Total characters5714
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique561 ?
Unique (%)56.1%

Sample

1st row679759
2nd row366528
3rd row577534
4th row394646
5th row1539113
ValueCountFrequency (%)
106800 9
 
0.9%
96000 8
 
0.8%
110400 8
 
0.8%
109200 7
 
0.7%
122400 7
 
0.7%
112800 6
 
0.6%
91200 6
 
0.6%
93600 6
 
0.6%
99600 5
 
0.5%
104400 5
 
0.5%
Other values (706) 933
93.3%
2023-12-09T20:58:41.373273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1476
25.8%
1 836
14.6%
2 539
 
9.4%
8 508
 
8.9%
5 470
 
8.2%
6 447
 
7.8%
4 401
 
7.0%
7 366
 
6.4%
9 340
 
6.0%
3 323
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5706
99.9%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1476
25.9%
1 836
14.7%
2 539
 
9.4%
8 508
 
8.9%
5 470
 
8.2%
6 447
 
7.8%
4 401
 
7.0%
7 366
 
6.4%
9 340
 
6.0%
3 323
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1476
25.8%
1 836
14.6%
2 539
 
9.4%
8 508
 
8.9%
5 470
 
8.2%
6 447
 
7.8%
4 401
 
7.0%
7 366
 
6.4%
9 340
 
6.0%
3 323
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1476
25.8%
1 836
14.6%
2 539
 
9.4%
8 508
 
8.9%
5 470
 
8.2%
6 447
 
7.8%
4 401
 
7.0%
7 366
 
6.4%
9 340
 
6.0%
3 323
 
5.7%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:58:41.642582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length13.043
Min length5

Characters and Unicode

Total characters13043
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowBank Branch
2nd rowRetail Store
3rd rowNot Available
4th rowNot Available
5th rowRetail Store
ValueCountFrequency (%)
not 864
43.4%
available 864
43.4%
swimming 24
 
1.2%
pool 24
 
1.2%
heated 21
 
1.1%
office 21
 
1.1%
parking 20
 
1.0%
store 19
 
1.0%
retail 18
 
0.9%
financial 12
 
0.6%
Other values (34) 102
 
5.1%
2023-12-09T20:58:42.025653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1882
14.4%
l 1810
13.9%
e 1047
8.0%
i 1027
7.9%
t 998
7.7%
989
7.6%
o 956
7.3%
b 872
6.7%
v 871
6.7%
A 867
6.6%
Other values (30) 1724
13.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10044
77.0%
Uppercase Letter 1996
 
15.3%
Space Separator 989
 
7.6%
Other Punctuation 11
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1882
18.7%
l 1810
18.0%
e 1047
10.4%
i 1027
10.2%
t 998
9.9%
o 956
9.5%
b 872
8.7%
v 871
8.7%
n 122
 
1.2%
r 92
 
0.9%
Other values (11) 367
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 867
43.4%
N 864
43.3%
S 50
 
2.5%
P 48
 
2.4%
O 31
 
1.6%
H 29
 
1.5%
R 29
 
1.5%
F 23
 
1.2%
C 16
 
0.8%
B 14
 
0.7%
Other values (6) 25
 
1.3%
Space Separator
ValueCountFrequency (%)
989
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12040
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1882
15.6%
l 1810
15.0%
e 1047
8.7%
i 1027
8.5%
t 998
8.3%
o 956
7.9%
b 872
7.2%
v 871
7.2%
A 867
7.2%
N 864
7.2%
Other values (27) 846
7.0%
Common
ValueCountFrequency (%)
989
98.6%
/ 11
 
1.1%
- 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1882
14.4%
l 1810
13.9%
e 1047
8.0%
i 1027
7.9%
t 998
7.7%
989
7.6%
o 956
7.3%
b 872
6.7%
v 871
6.7%
A 867
6.6%
Other values (30) 1724
13.2%
Distinct105
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:58:42.401889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.792
Min length1

Characters and Unicode

Total characters11792
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st row5227
2nd row15789
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 864
46.4%
available 864
46.4%
0 30
 
1.6%
3173 2
 
0.1%
10561 2
 
0.1%
17500 2
 
0.1%
95582 1
 
0.1%
30996 1
 
0.1%
59000 1
 
0.1%
10152 1
 
0.1%
Other values (96) 96
 
5.2%
2023-12-09T20:58:43.186431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1728
14.7%
l 1728
14.7%
N 864
7.3%
o 864
7.3%
t 864
7.3%
864
7.3%
A 864
7.3%
v 864
7.3%
i 864
7.3%
b 864
7.3%
Other values (12) 1424
12.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8640
73.3%
Uppercase Letter 1728
 
14.7%
Space Separator 864
 
7.3%
Decimal Number 559
 
4.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 97
17.4%
1 74
13.2%
2 56
10.0%
3 53
9.5%
5 52
9.3%
9 50
8.9%
4 48
8.6%
6 47
8.4%
8 44
7.9%
7 38
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1728
20.0%
l 1728
20.0%
o 864
10.0%
t 864
10.0%
v 864
10.0%
i 864
10.0%
b 864
10.0%
e 864
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 864
50.0%
A 864
50.0%
Space Separator
ValueCountFrequency (%)
864
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10368
87.9%
Common 1424
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
864
60.7%
0 97
 
6.8%
1 74
 
5.2%
2 56
 
3.9%
3 53
 
3.7%
5 52
 
3.7%
9 50
 
3.5%
4 48
 
3.4%
6 47
 
3.3%
8 44
 
3.1%
Other values (2) 39
 
2.7%
Latin
ValueCountFrequency (%)
a 1728
16.7%
l 1728
16.7%
N 864
8.3%
o 864
8.3%
t 864
8.3%
A 864
8.3%
v 864
8.3%
i 864
8.3%
b 864
8.3%
e 864
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1728
14.7%
l 1728
14.7%
N 864
7.3%
o 864
7.3%
t 864
7.3%
864
7.3%
A 864
7.3%
v 864
7.3%
i 864
7.3%
b 864
7.3%
Other values (12) 1424
12.1%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:58:43.444174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length12.932
Min length5

Characters and Unicode

Total characters12932
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowBank Branch
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 928
46.9%
available 928
46.9%
parking 12
 
0.6%
restaurant 11
 
0.6%
data 10
 
0.5%
center 10
 
0.5%
other 9
 
0.5%
bank 8
 
0.4%
branch 8
 
0.4%
store 8
 
0.4%
Other values (23) 48
 
2.4%
2023-12-09T20:58:43.839964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1962
15.2%
l 1879
14.5%
e 1015
7.8%
t 1011
7.8%
980
7.6%
i 976
7.5%
o 954
7.4%
A 931
7.2%
v 931
7.2%
b 931
7.2%
Other values (28) 1362
10.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
77.0%
Uppercase Letter 1982
 
15.3%
Space Separator 980
 
7.6%
Dash Punctuation 5
 
< 0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1962
19.7%
l 1879
18.9%
e 1015
10.2%
t 1011
10.2%
i 976
9.8%
o 954
9.6%
v 931
9.3%
b 931
9.3%
n 74
 
0.7%
r 72
 
0.7%
Other values (12) 155
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 931
47.0%
N 929
46.9%
R 21
 
1.1%
B 19
 
1.0%
O 16
 
0.8%
P 14
 
0.7%
F 12
 
0.6%
C 12
 
0.6%
S 12
 
0.6%
D 11
 
0.6%
Other values (3) 5
 
0.3%
Space Separator
ValueCountFrequency (%)
980
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11942
92.3%
Common 990
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1962
16.4%
l 1879
15.7%
e 1015
8.5%
t 1011
8.5%
i 976
8.2%
o 954
8.0%
A 931
7.8%
v 931
7.8%
b 931
7.8%
N 929
7.8%
Other values (25) 423
 
3.5%
Common
ValueCountFrequency (%)
980
99.0%
- 5
 
0.5%
/ 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1962
15.2%
l 1879
14.5%
e 1015
7.8%
t 1011
7.8%
980
7.6%
i 976
7.5%
o 954
7.4%
A 931
7.2%
v 931
7.2%
b 931
7.2%
Other values (28) 1362
10.5%
Distinct71
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:58:44.169640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.387
Min length1

Characters and Unicode

Total characters12387
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)6.8%

Sample

1st rowNot Available
2nd row2115
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 928
48.1%
available 928
48.1%
5644 2
 
0.1%
0 2
 
0.1%
20204 1
 
0.1%
2115 1
 
0.1%
5190 1
 
0.1%
1374 1
 
0.1%
9100 1
 
0.1%
20000 1
 
0.1%
Other values (62) 62
 
3.2%
2023-12-09T20:58:44.616287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1856
15.0%
l 1856
15.0%
N 928
7.5%
t 928
7.5%
928
7.5%
A 928
7.5%
v 928
7.5%
i 928
7.5%
b 928
7.5%
e 928
7.5%
Other values (12) 1251
10.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9280
74.9%
Uppercase Letter 1856
 
15.0%
Space Separator 928
 
7.5%
Decimal Number 321
 
2.6%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70
21.8%
1 37
11.5%
4 37
11.5%
2 36
11.2%
5 32
10.0%
3 24
 
7.5%
9 23
 
7.2%
7 22
 
6.9%
8 21
 
6.5%
6 19
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1856
20.0%
l 1856
20.0%
t 928
10.0%
v 928
10.0%
i 928
10.0%
b 928
10.0%
e 928
10.0%
o 928
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 928
50.0%
A 928
50.0%
Space Separator
ValueCountFrequency (%)
928
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11136
89.9%
Common 1251
 
10.1%

Most frequent character per script

Common
ValueCountFrequency (%)
928
74.2%
0 70
 
5.6%
1 37
 
3.0%
4 37
 
3.0%
2 36
 
2.9%
5 32
 
2.6%
3 24
 
1.9%
9 23
 
1.8%
7 22
 
1.8%
8 21
 
1.7%
Other values (2) 21
 
1.7%
Latin
ValueCountFrequency (%)
a 1856
16.7%
l 1856
16.7%
N 928
8.3%
t 928
8.3%
A 928
8.3%
v 928
8.3%
i 928
8.3%
b 928
8.3%
e 928
8.3%
o 928
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1856
15.0%
l 1856
15.0%
N 928
7.5%
t 928
7.5%
928
7.5%
A 928
7.5%
v 928
7.5%
i 928
7.5%
b 928
7.5%
e 928
7.5%
Other values (12) 1251
10.1%
Distinct111
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:58:44.965144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st row1982
2nd row1956
3rd row1989
4th row1961
5th row1999
ValueCountFrequency (%)
1931 82
 
8.2%
1930 42
 
4.2%
1925 30
 
3.0%
1957 25
 
2.5%
1965 24
 
2.4%
1966 23
 
2.3%
1960 23
 
2.3%
1964 23
 
2.3%
1920 21
 
2.1%
1950 21
 
2.1%
Other values (101) 686
68.6%
2023-12-09T20:58:45.432440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1149
28.7%
9 1079
27.0%
0 338
 
8.5%
2 260
 
6.5%
6 258
 
6.5%
5 257
 
6.4%
3 235
 
5.9%
7 150
 
3.8%
4 145
 
3.6%
8 129
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1149
28.7%
9 1079
27.0%
0 338
 
8.5%
2 260
 
6.5%
6 258
 
6.5%
5 257
 
6.4%
3 235
 
5.9%
7 150
 
3.8%
4 145
 
3.6%
8 129
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1149
28.7%
9 1079
27.0%
0 338
 
8.5%
2 260
 
6.5%
6 258
 
6.5%
5 257
 
6.4%
3 235
 
5.9%
7 150
 
3.8%
4 145
 
3.6%
8 129
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1149
28.7%
9 1079
27.0%
0 338
 
8.5%
2 260
 
6.5%
6 258
 
6.5%
5 257
 
6.4%
3 235
 
5.9%
7 150
 
3.8%
4 145
 
3.6%
8 129
 
3.2%

construction_status
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T20:58:45.600890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8000
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowExisting
2nd rowExisting
3rd rowExisting
4th rowExisting
5th rowExisting
ValueCountFrequency (%)
existing 1000
100.0%
2023-12-09T20:58:45.867252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2000
25.0%
E 1000
12.5%
x 1000
12.5%
s 1000
12.5%
t 1000
12.5%
n 1000
12.5%
g 1000
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7000
87.5%
Uppercase Letter 1000
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2000
28.6%
x 1000
14.3%
s 1000
14.3%
t 1000
14.3%
n 1000
14.3%
g 1000
14.3%
Uppercase Letter
ValueCountFrequency (%)
E 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2000
25.0%
E 1000
12.5%
x 1000
12.5%
s 1000
12.5%
t 1000
12.5%
n 1000
12.5%
g 1000
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2000
25.0%
E 1000
12.5%
x 1000
12.5%
s 1000
12.5%
t 1000
12.5%
n 1000
12.5%
g 1000
12.5%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:58:45.978094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 980
98.0%
2 14
 
1.4%
0 4
 
0.4%
5 2
 
0.2%
2023-12-09T20:58:46.204861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 980
98.0%
2 14
 
1.4%
0 4
 
0.4%
5 2
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 980
98.0%
2 14
 
1.4%
0 4
 
0.4%
5 2
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 980
98.0%
2 14
 
1.4%
0 4
 
0.4%
5 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 980
98.0%
2 14
 
1.4%
0 4
 
0.4%
5 2
 
0.2%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:58:46.341199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.964
Min length2

Characters and Unicode

Total characters2964
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row55
2nd row100
3rd row95
4th row100
5th row100
ValueCountFrequency (%)
100 964
96.4%
90 8
 
0.8%
85 8
 
0.8%
95 8
 
0.8%
80 6
 
0.6%
60 3
 
0.3%
65 1
 
0.1%
75 1
 
0.1%
55 1
 
0.1%
2023-12-09T20:58:46.602090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1945
65.6%
1 964
32.5%
5 20
 
0.7%
9 16
 
0.5%
8 14
 
0.5%
6 4
 
0.1%
7 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2964
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1945
65.6%
1 964
32.5%
5 20
 
0.7%
9 16
 
0.5%
8 14
 
0.5%
6 4
 
0.1%
7 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1945
65.6%
1 964
32.5%
5 20
 
0.7%
9 16
 
0.5%
8 14
 
0.5%
6 4
 
0.1%
7 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1945
65.6%
1 964
32.5%
5 20
 
0.7%
9 16
 
0.5%
8 14
 
0.5%
6 4
 
0.1%
7 1
 
< 0.1%

metered_areas_energy
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-09T20:58:46.770079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhole Property
2nd rowWhole Property
3rd rowWhole Property
4th rowWhole Property
5th rowWhole Property
ValueCountFrequency (%)
whole 1000
50.0%
property 1000
50.0%
2023-12-09T20:58:47.054576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2000
14.3%
e 2000
14.3%
r 2000
14.3%
W 1000
7.1%
h 1000
7.1%
l 1000
7.1%
1000
7.1%
P 1000
7.1%
p 1000
7.1%
t 1000
7.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11000
78.6%
Uppercase Letter 2000
 
14.3%
Space Separator 1000
 
7.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2000
18.2%
e 2000
18.2%
r 2000
18.2%
h 1000
9.1%
l 1000
9.1%
p 1000
9.1%
t 1000
9.1%
y 1000
9.1%
Uppercase Letter
ValueCountFrequency (%)
W 1000
50.0%
P 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13000
92.9%
Common 1000
 
7.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2000
15.4%
e 2000
15.4%
r 2000
15.4%
W 1000
7.7%
h 1000
7.7%
l 1000
7.7%
P 1000
7.7%
p 1000
7.7%
t 1000
7.7%
y 1000
7.7%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2000
14.3%
e 2000
14.3%
r 2000
14.3%
W 1000
7.1%
h 1000
7.1%
l 1000
7.1%
1000
7.1%
P 1000
7.1%
p 1000
7.1%
t 1000
7.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:58:47.231352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length13
Mean length13.121
Min length13

Characters and Unicode

Total characters13121
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowWhole Property
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 879
44.0%
available 879
44.0%
whole 121
 
6.0%
property 121
 
6.0%
2023-12-09T20:58:47.534289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1879
14.3%
a 1758
13.4%
o 1121
8.5%
e 1121
8.5%
t 1000
7.6%
1000
7.6%
b 879
6.7%
N 879
6.7%
i 879
6.7%
v 879
6.7%
Other values (7) 1726
13.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10121
77.1%
Uppercase Letter 2000
 
15.2%
Space Separator 1000
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1879
18.6%
a 1758
17.4%
o 1121
11.1%
e 1121
11.1%
t 1000
9.9%
b 879
8.7%
i 879
8.7%
v 879
8.7%
r 242
 
2.4%
h 121
 
1.2%
Other values (2) 242
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
N 879
44.0%
A 879
44.0%
W 121
 
6.0%
P 121
 
6.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12121
92.4%
Common 1000
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1879
15.5%
a 1758
14.5%
o 1121
9.2%
e 1121
9.2%
t 1000
8.3%
b 879
7.3%
N 879
7.3%
i 879
7.3%
v 879
7.3%
A 879
7.3%
Other values (6) 847
7.0%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1879
14.3%
a 1758
13.4%
o 1121
8.5%
e 1121
8.5%
t 1000
7.6%
1000
7.6%
b 879
6.7%
N 879
6.7%
i 879
6.7%
v 879
6.7%
Other values (7) 1726
13.2%
Distinct93
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:58:47.849317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.148
Min length1

Characters and Unicode

Total characters2148
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row80
2nd row68
3rd row72
4th row63
5th row46
ValueCountFrequency (%)
80 31
 
3.1%
87 25
 
2.5%
64 25
 
2.5%
76 25
 
2.5%
70 24
 
2.4%
62 23
 
2.3%
78 23
 
2.3%
81 22
 
2.2%
86 22
 
2.2%
79 21
 
2.1%
Other values (84) 773
76.2%
2023-12-09T20:58:48.302242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 308
14.3%
7 307
14.3%
6 272
12.7%
5 219
10.2%
9 190
8.8%
4 181
8.4%
2 138
6.4%
3 137
6.4%
1 108
 
5.0%
0 106
 
4.9%
Other values (11) 182
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1966
91.5%
Lowercase Letter 140
 
6.5%
Uppercase Letter 28
 
1.3%
Space Separator 14
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 308
15.7%
7 307
15.6%
6 272
13.8%
5 219
11.1%
9 190
9.7%
4 181
9.2%
2 138
7.0%
3 137
7.0%
1 108
 
5.5%
0 106
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
l 28
20.0%
a 28
20.0%
v 14
10.0%
b 14
10.0%
i 14
10.0%
t 14
10.0%
o 14
10.0%
e 14
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 14
50.0%
A 14
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1980
92.2%
Latin 168
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
8 308
15.6%
7 307
15.5%
6 272
13.7%
5 219
11.1%
9 190
9.6%
4 181
9.1%
2 138
7.0%
3 137
6.9%
1 108
 
5.5%
0 106
 
5.4%
Latin
ValueCountFrequency (%)
l 28
16.7%
a 28
16.7%
v 14
8.3%
b 14
8.3%
i 14
8.3%
N 14
8.3%
A 14
8.3%
t 14
8.3%
o 14
8.3%
e 14
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 308
14.3%
7 307
14.3%
6 272
12.7%
5 219
10.2%
9 190
8.8%
4 181
8.4%
2 138
6.4%
3 137
6.4%
1 108
 
5.0%
0 106
 
4.9%
Other values (11) 182
8.5%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:58:48.418060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50
ValueCountFrequency (%)
50 1000
100.0%
2023-12-09T20:58:48.635920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%
Distinct71
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
2023-12-09T20:58:48.835647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length100
Median length13
Mean length14.431
Min length4

Characters and Unicode

Total characters14431
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)5.7%

Sample

1st row2017, 2015, 2010, 2008, 2006, 2005, 2003, 2002, 2001
2nd row2018, 2017, 2015, 2010, 2008, 2001
3rd row2018, 2016, 2015, 2010, 2008, 2006, 2005, 2003, 2002, 2001
4th row2018, 2017, 2015, 2010, 2008, 2006, 2005, 2003, 2001
5th row2010, 2008, 2006, 2005, 2003, 2002, 2001
ValueCountFrequency (%)
not 909
39.8%
available 909
39.8%
2018 63
 
2.8%
2017 53
 
2.3%
2016 50
 
2.2%
2015 44
 
1.9%
2010 34
 
1.5%
2014 31
 
1.4%
2012 30
 
1.3%
2013 29
 
1.3%
Other values (12) 132
 
5.8%
2023-12-09T20:58:49.165164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1818
12.6%
l 1818
12.6%
1284
8.9%
N 909
 
6.3%
t 909
 
6.3%
A 909
 
6.3%
v 909
 
6.3%
i 909
 
6.3%
b 909
 
6.3%
e 909
 
6.3%
Other values (12) 3148
21.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9090
63.0%
Decimal Number 1864
 
12.9%
Uppercase Letter 1818
 
12.6%
Space Separator 1284
 
8.9%
Other Punctuation 375
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 581
31.2%
2 500
26.8%
1 419
22.5%
8 89
 
4.8%
7 57
 
3.1%
6 56
 
3.0%
5 50
 
2.7%
9 46
 
2.5%
3 34
 
1.8%
4 32
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
a 1818
20.0%
l 1818
20.0%
t 909
10.0%
v 909
10.0%
i 909
10.0%
b 909
10.0%
e 909
10.0%
o 909
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 909
50.0%
A 909
50.0%
Space Separator
ValueCountFrequency (%)
1284
100.0%
Other Punctuation
ValueCountFrequency (%)
, 375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10908
75.6%
Common 3523
 
24.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1284
36.4%
0 581
16.5%
2 500
 
14.2%
1 419
 
11.9%
, 375
 
10.6%
8 89
 
2.5%
7 57
 
1.6%
6 56
 
1.6%
5 50
 
1.4%
9 46
 
1.3%
Other values (2) 66
 
1.9%
Latin
ValueCountFrequency (%)
a 1818
16.7%
l 1818
16.7%
N 909
8.3%
t 909
8.3%
A 909
8.3%
v 909
8.3%
i 909
8.3%
b 909
8.3%
e 909
8.3%
o 909
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1818
12.6%
l 1818
12.6%
1284
8.9%
N 909
 
6.3%
t 909
 
6.3%
A 909
 
6.3%
v 909
 
6.3%
i 909
 
6.3%
b 909
 
6.3%
e 909
 
6.3%
Other values (12) 3148
21.8%
Distinct73
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:58:49.474077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.727
Min length10

Characters and Unicode

Total characters12727
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)6.0%

Sample

1st row10/04/2017
2nd row07/02/2018
3rd row05/02/2018
4th row05/02/2018
5th row03/22/2011
ValueCountFrequency (%)
not 909
47.6%
available 909
47.6%
08/09/2018 4
 
0.2%
07/16/2018 4
 
0.2%
05/02/2018 3
 
0.2%
07/10/2018 3
 
0.2%
07/30/2018 3
 
0.2%
12/09/2019 2
 
0.1%
07/19/2011 2
 
0.1%
09/23/2019 2
 
0.1%
Other values (64) 68
 
3.6%
2023-12-09T20:58:49.914244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1818
14.3%
l 1818
14.3%
N 909
7.1%
o 909
7.1%
t 909
7.1%
909
7.1%
A 909
7.1%
v 909
7.1%
i 909
7.1%
b 909
7.1%
Other values (12) 1819
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9090
71.4%
Uppercase Letter 1818
 
14.3%
Space Separator 909
 
7.1%
Decimal Number 728
 
5.7%
Other Punctuation 182
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
29.7%
1 157
21.6%
2 147
20.2%
8 67
 
9.2%
9 44
 
6.0%
7 36
 
4.9%
3 19
 
2.6%
6 15
 
2.1%
4 14
 
1.9%
5 13
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1818
20.0%
l 1818
20.0%
o 909
10.0%
t 909
10.0%
v 909
10.0%
i 909
10.0%
b 909
10.0%
e 909
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 909
50.0%
A 909
50.0%
Space Separator
ValueCountFrequency (%)
909
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10908
85.7%
Common 1819
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
909
50.0%
0 216
 
11.9%
/ 182
 
10.0%
1 157
 
8.6%
2 147
 
8.1%
8 67
 
3.7%
9 44
 
2.4%
7 36
 
2.0%
3 19
 
1.0%
6 15
 
0.8%
Other values (2) 27
 
1.5%
Latin
ValueCountFrequency (%)
a 1818
16.7%
l 1818
16.7%
N 909
8.3%
o 909
8.3%
t 909
8.3%
A 909
8.3%
v 909
8.3%
i 909
8.3%
b 909
8.3%
e 909
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12727
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1818
14.3%
l 1818
14.3%
N 909
7.1%
o 909
7.1%
t 909
7.1%
909
7.1%
A 909
7.1%
v 909
7.1%
i 909
7.1%
b 909
7.1%
Other values (12) 1819
14.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.1 KiB
2023-12-09T20:58:50.065337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.396
Min length2

Characters and Unicode

Total characters2396
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 604
60.4%
yes 396
39.6%
2023-12-09T20:58:50.325470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 604
25.2%
o 604
25.2%
Y 396
16.5%
e 396
16.5%
s 396
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1396
58.3%
Uppercase Letter 1000
41.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 604
43.3%
e 396
28.4%
s 396
28.4%
Uppercase Letter
ValueCountFrequency (%)
N 604
60.4%
Y 396
39.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 2396
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 604
25.2%
o 604
25.2%
Y 396
16.5%
e 396
16.5%
s 396
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 604
25.2%
o 604
25.2%
Y 396
16.5%
e 396
16.5%
s 396
16.5%
Distinct527
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2023-12-09T20:58:50.827317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length3.88
Min length2

Characters and Unicode

Total characters3880
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)27.2%

Sample

1st row50.1
2nd row95.2
3rd row67.4
4th row99.4
5th row100.2
ValueCountFrequency (%)
87.9 6
 
0.6%
60.2 6
 
0.6%
58 6
 
0.6%
71.8 6
 
0.6%
57.4 6
 
0.6%
58.3 6
 
0.6%
56.1 6
 
0.6%
45.7 5
 
0.5%
81.7 5
 
0.5%
60.7 5
 
0.5%
Other values (518) 944
94.3%
2023-12-09T20:58:51.471477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 899
23.2%
7 428
11.0%
6 420
10.8%
5 402
10.4%
4 338
 
8.7%
8 295
 
7.6%
1 281
 
7.2%
9 232
 
6.0%
3 230
 
5.9%
2 199
 
5.1%
Other values (12) 156
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2968
76.5%
Other Punctuation 899
 
23.2%
Lowercase Letter 10
 
0.3%
Uppercase Letter 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 428
14.4%
6 420
14.2%
5 402
13.5%
4 338
11.4%
8 295
9.9%
1 281
9.5%
9 232
7.8%
3 230
7.7%
2 199
6.7%
0 143
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 899
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3868
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 899
23.2%
7 428
11.1%
6 420
10.9%
5 402
10.4%
4 338
 
8.7%
8 295
 
7.6%
1 281
 
7.3%
9 232
 
6.0%
3 230
 
5.9%
2 199
 
5.1%
Other values (2) 144
 
3.7%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 899
23.2%
7 428
11.0%
6 420
10.8%
5 402
10.4%
4 338
 
8.7%
8 295
 
7.6%
1 281
 
7.2%
9 232
 
6.0%
3 230
 
5.9%
2 199
 
5.1%
Other values (12) 156
 
4.0%
Distinct517
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size59.8 KiB
2023-12-09T20:58:52.015599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.066
Min length2

Characters and Unicode

Total characters4066
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique247 ?
Unique (%)24.7%

Sample

1st row49.9
2nd row93.7
3rd row67.2
4th row97.2
5th row100.1
ValueCountFrequency (%)
not 24
 
2.3%
available 24
 
2.3%
61.3 6
 
0.6%
57.2 5
 
0.5%
76.2 5
 
0.5%
59.2 5
 
0.5%
52.6 5
 
0.5%
73.1 5
 
0.5%
63.6 5
 
0.5%
63.4 5
 
0.5%
Other values (508) 935
91.3%
2023-12-09T20:58:52.687266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 868
21.3%
6 429
10.6%
7 382
9.4%
5 382
9.4%
4 315
 
7.7%
8 277
 
6.8%
1 273
 
6.7%
9 243
 
6.0%
3 233
 
5.7%
2 219
 
5.4%
Other values (12) 445
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2886
71.0%
Other Punctuation 868
 
21.3%
Lowercase Letter 240
 
5.9%
Uppercase Letter 48
 
1.2%
Space Separator 24
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 429
14.9%
7 382
13.2%
5 382
13.2%
4 315
10.9%
8 277
9.6%
1 273
9.5%
9 243
8.4%
3 233
8.1%
2 219
7.6%
0 133
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 48
20.0%
l 48
20.0%
i 24
10.0%
b 24
10.0%
e 24
10.0%
o 24
10.0%
v 24
10.0%
t 24
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 24
50.0%
N 24
50.0%
Other Punctuation
ValueCountFrequency (%)
. 868
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3778
92.9%
Latin 288
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 868
23.0%
6 429
11.4%
7 382
10.1%
5 382
10.1%
4 315
 
8.3%
8 277
 
7.3%
1 273
 
7.2%
9 243
 
6.4%
3 233
 
6.2%
2 219
 
5.8%
Other values (2) 157
 
4.2%
Latin
ValueCountFrequency (%)
a 48
16.7%
l 48
16.7%
i 24
8.3%
b 24
8.3%
e 24
8.3%
o 24
8.3%
v 24
8.3%
A 24
8.3%
t 24
8.3%
N 24
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4066
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 868
21.3%
6 429
10.6%
7 382
9.4%
5 382
9.4%
4 315
 
7.7%
8 277
 
6.8%
1 273
 
6.7%
9 243
 
6.0%
3 233
 
5.7%
2 219
 
5.4%
Other values (12) 445
10.9%
Distinct497
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size59.6 KiB
2023-12-09T20:58:53.163602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.909
Min length2

Characters and Unicode

Total characters3909
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)23.9%

Sample

1st row81.1
2nd row123.1
3rd row93.2
4th row119.4
5th row96.3
ValueCountFrequency (%)
86.6 8
 
0.8%
81.1 8
 
0.8%
83.5 7
 
0.7%
84.2 6
 
0.6%
80.7 6
 
0.6%
75.8 6
 
0.6%
83 6
 
0.6%
87.8 6
 
0.6%
80.9 6
 
0.6%
73 6
 
0.6%
Other values (487) 935
93.5%
2023-12-09T20:58:53.755905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 887
22.7%
8 479
12.3%
7 431
11.0%
9 371
9.5%
1 360
9.2%
6 343
 
8.8%
5 227
 
5.8%
4 212
 
5.4%
2 209
 
5.3%
3 205
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3022
77.3%
Other Punctuation 887
 
22.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 479
15.9%
7 431
14.3%
9 371
12.3%
1 360
11.9%
6 343
11.4%
5 227
7.5%
4 212
7.0%
2 209
6.9%
3 205
6.8%
0 185
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3909
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 887
22.7%
8 479
12.3%
7 431
11.0%
9 371
9.5%
1 360
9.2%
6 343
 
8.8%
5 227
 
5.8%
4 212
 
5.4%
2 209
 
5.3%
3 205
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 887
22.7%
8 479
12.3%
7 431
11.0%
9 371
9.5%
1 360
9.2%
6 343
 
8.8%
5 227
 
5.8%
4 212
 
5.4%
2 209
 
5.3%
3 205
 
5.2%
Distinct562
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:58:54.218173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.475
Min length1

Characters and Unicode

Total characters4475
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)31.1%

Sample

1st row-38.2
2nd row-22.6
3rd row-27.6
4th row-16.8
5th row4.1
ValueCountFrequency (%)
14.1 8
 
0.8%
2.9 7
 
0.7%
12.4 7
 
0.7%
24.5 6
 
0.6%
20.2 6
 
0.6%
30.1 6
 
0.6%
21.7 6
 
0.6%
13.9 6
 
0.6%
25.7 6
 
0.6%
9.4 5
 
0.5%
Other values (454) 938
93.7%
2023-12-09T20:58:54.804417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 918
20.5%
- 815
18.2%
2 446
10.0%
1 393
8.8%
3 387
8.6%
4 330
 
7.4%
5 242
 
5.4%
9 229
 
5.1%
7 210
 
4.7%
6 200
 
4.5%
Other values (13) 305
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2729
61.0%
Other Punctuation 918
 
20.5%
Dash Punctuation 815
 
18.2%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 446
16.3%
1 393
14.4%
3 387
14.2%
4 330
12.1%
5 242
8.9%
9 229
8.4%
7 210
7.7%
6 200
7.3%
8 185
6.8%
0 107
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
o 1
10.0%
t 1
10.0%
v 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 815
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4463
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 918
20.6%
- 815
18.3%
2 446
10.0%
1 393
8.8%
3 387
8.7%
4 330
 
7.4%
5 242
 
5.4%
9 229
 
5.1%
7 210
 
4.7%
6 200
 
4.5%
Other values (3) 293
 
6.6%
Latin
ValueCountFrequency (%)
a 2
16.7%
l 2
16.7%
N 1
8.3%
o 1
8.3%
t 1
8.3%
A 1
8.3%
v 1
8.3%
i 1
8.3%
b 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 918
20.5%
- 815
18.2%
2 446
10.0%
1 393
8.8%
3 387
8.6%
4 330
 
7.4%
5 242
 
5.4%
9 229
 
5.1%
7 210
 
4.7%
6 200
 
4.5%
Other values (13) 305
 
6.8%
Distinct997
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:58:55.553297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.116
Min length6

Characters and Unicode

Total characters9116
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)99.4%

Sample

1st row34344218.3
2nd row36613879.7
3rd row38939555.8
4th row39212617
5th row160549289.2
ValueCountFrequency (%)
10216860.5 2
 
0.2%
8180023.2 2
 
0.2%
5526635.4 2
 
0.2%
6127598.4 1
 
0.1%
13032356.7 1
 
0.1%
112449716.6 1
 
0.1%
28983103.2 1
 
0.1%
49779122.2 1
 
0.1%
55613046 1
 
0.1%
12718210.1 1
 
0.1%
Other values (988) 988
98.7%
2023-12-09T20:58:56.070001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 976
10.7%
6 927
10.2%
. 885
9.7%
7 850
9.3%
2 830
9.1%
5 830
9.1%
3 807
8.9%
4 799
8.8%
9 788
8.6%
8 776
8.5%
Other values (12) 648
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8218
90.1%
Other Punctuation 885
 
9.7%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 976
11.9%
6 927
11.3%
7 850
10.3%
2 830
10.1%
5 830
10.1%
3 807
9.8%
4 799
9.7%
9 788
9.6%
8 776
9.4%
0 635
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 885
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9104
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 976
10.7%
6 927
10.2%
. 885
9.7%
7 850
9.3%
2 830
9.1%
5 830
9.1%
3 807
8.9%
4 799
8.8%
9 788
8.7%
8 776
8.5%
Other values (2) 636
7.0%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 976
10.7%
6 927
10.2%
. 885
9.7%
7 850
9.3%
2 830
9.1%
5 830
9.1%
3 807
8.9%
4 799
8.8%
9 788
8.6%
8 776
8.5%
Other values (12) 648
7.1%
Distinct974
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:58:56.446773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.237
Min length7

Characters and Unicode

Total characters9237
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique970 ?
Unique (%)97.0%

Sample

1st row34173207.4
2nd row36038018.3
3rd row38830837.3
4th row38367983.1
5th row160382459.6
ValueCountFrequency (%)
not 24
 
2.3%
available 24
 
2.3%
5513345.8 2
 
0.2%
10202167.6 2
 
0.2%
8238656.8 2
 
0.2%
16481765.8 1
 
0.1%
10366012.4 1
 
0.1%
38367983.1 1
 
0.1%
3918347.9 1
 
0.1%
48862885.7 1
 
0.1%
Other values (965) 965
94.2%
2023-12-09T20:58:56.936593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 951
10.3%
. 884
9.6%
7 857
9.3%
5 854
9.2%
6 842
9.1%
8 814
8.8%
2 806
8.7%
4 786
8.5%
3 776
8.4%
9 733
7.9%
Other values (12) 934
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8041
87.1%
Other Punctuation 884
 
9.6%
Lowercase Letter 240
 
2.6%
Uppercase Letter 48
 
0.5%
Space Separator 24
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 951
11.8%
7 857
10.7%
5 854
10.6%
6 842
10.5%
8 814
10.1%
2 806
10.0%
4 786
9.8%
3 776
9.7%
9 733
9.1%
0 622
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 48
20.0%
a 48
20.0%
e 24
10.0%
o 24
10.0%
b 24
10.0%
i 24
10.0%
v 24
10.0%
t 24
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 24
50.0%
N 24
50.0%
Other Punctuation
ValueCountFrequency (%)
. 884
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8949
96.9%
Latin 288
 
3.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 951
10.6%
. 884
9.9%
7 857
9.6%
5 854
9.5%
6 842
9.4%
8 814
9.1%
2 806
9.0%
4 786
8.8%
3 776
8.7%
9 733
8.2%
Other values (2) 646
7.2%
Latin
ValueCountFrequency (%)
l 48
16.7%
a 48
16.7%
e 24
8.3%
o 24
8.3%
b 24
8.3%
i 24
8.3%
v 24
8.3%
A 24
8.3%
t 24
8.3%
N 24
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 951
10.3%
. 884
9.6%
7 857
9.3%
5 854
9.2%
6 842
9.1%
8 814
8.8%
2 806
8.7%
4 786
8.5%
3 776
8.4%
9 733
7.9%
Other values (12) 934
10.1%
Distinct172
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size58.7 KiB
2023-12-09T20:58:57.346612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.014
Min length1

Characters and Unicode

Total characters3014
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.9%

Sample

1st row10.9
2nd row13.3
3rd row12.9
4th row13.7
5th row20.3
ValueCountFrequency (%)
5 32
 
3.2%
4.4 31
 
3.1%
4.2 30
 
3.0%
4.5 30
 
3.0%
4 29
 
2.9%
4.9 27
 
2.7%
4.1 27
 
2.7%
4.6 27
 
2.7%
4.8 25
 
2.5%
3.6 25
 
2.5%
Other values (163) 721
71.8%
2023-12-09T20:58:57.857181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 884
29.3%
4 379
12.6%
1 313
 
10.4%
3 285
 
9.5%
5 282
 
9.4%
6 189
 
6.3%
7 163
 
5.4%
2 150
 
5.0%
9 145
 
4.8%
8 135
 
4.5%
Other values (12) 89
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2078
68.9%
Other Punctuation 884
29.3%
Lowercase Letter 40
 
1.3%
Uppercase Letter 8
 
0.3%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 379
18.2%
1 313
15.1%
3 285
13.7%
5 282
13.6%
6 189
9.1%
7 163
7.8%
2 150
 
7.2%
9 145
 
7.0%
8 135
 
6.5%
0 37
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
l 8
20.0%
a 8
20.0%
v 4
10.0%
b 4
10.0%
i 4
10.0%
t 4
10.0%
o 4
10.0%
e 4
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
A 4
50.0%
Other Punctuation
ValueCountFrequency (%)
. 884
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2966
98.4%
Latin 48
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 884
29.8%
4 379
12.8%
1 313
 
10.6%
3 285
 
9.6%
5 282
 
9.5%
6 189
 
6.4%
7 163
 
5.5%
2 150
 
5.1%
9 145
 
4.9%
8 135
 
4.6%
Other values (2) 41
 
1.4%
Latin
ValueCountFrequency (%)
l 8
16.7%
a 8
16.7%
v 4
8.3%
b 4
8.3%
i 4
8.3%
N 4
8.3%
A 4
8.3%
t 4
8.3%
o 4
8.3%
e 4
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3014
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 884
29.3%
4 379
12.6%
1 313
 
10.4%
3 285
 
9.5%
5 282
 
9.4%
6 189
 
6.3%
7 163
 
5.4%
2 150
 
5.0%
9 145
 
4.8%
8 135
 
4.5%
Other values (12) 89
 
3.0%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size58.6 KiB
2023-12-09T20:58:58.036538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.876
Min length1

Characters and Unicode

Total characters2876
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd row0
4th row0.1
5th row0.2
ValueCountFrequency (%)
0 370
34.8%
0.4 147
 
13.8%
0.3 115
 
10.8%
0.5 114
 
10.7%
not 62
 
5.8%
available 62
 
5.8%
0.2 57
 
5.4%
0.1 57
 
5.4%
0.6 49
 
4.6%
0.7 12
 
1.1%
Other values (10) 17
 
1.6%
2023-12-09T20:58:58.323324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 929
32.3%
. 566
19.7%
4 149
 
5.2%
l 124
 
4.3%
a 124
 
4.3%
5 117
 
4.1%
3 115
 
4.0%
1 64
 
2.2%
i 62
 
2.2%
e 62
 
2.2%
Other values (12) 564
19.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1504
52.3%
Lowercase Letter 620
21.6%
Other Punctuation 566
 
19.7%
Uppercase Letter 124
 
4.3%
Space Separator 62
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 929
61.8%
4 149
 
9.9%
5 117
 
7.8%
3 115
 
7.6%
1 64
 
4.3%
2 59
 
3.9%
6 50
 
3.3%
7 12
 
0.8%
8 6
 
0.4%
9 3
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
l 124
20.0%
a 124
20.0%
i 62
10.0%
e 62
10.0%
b 62
10.0%
o 62
10.0%
v 62
10.0%
t 62
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 62
50.0%
A 62
50.0%
Other Punctuation
ValueCountFrequency (%)
. 566
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2132
74.1%
Latin 744
 
25.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 929
43.6%
. 566
26.5%
4 149
 
7.0%
5 117
 
5.5%
3 115
 
5.4%
1 64
 
3.0%
62
 
2.9%
2 59
 
2.8%
6 50
 
2.3%
7 12
 
0.6%
Other values (2) 9
 
0.4%
Latin
ValueCountFrequency (%)
l 124
16.7%
a 124
16.7%
i 62
8.3%
e 62
8.3%
b 62
8.3%
o 62
8.3%
N 62
8.3%
v 62
8.3%
A 62
8.3%
t 62
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2876
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 929
32.3%
. 566
19.7%
4 149
 
5.2%
l 124
 
4.3%
a 124
 
4.3%
5 117
 
4.1%
3 115
 
4.0%
1 64
 
2.2%
i 62
 
2.2%
e 62
 
2.2%
Other values (12) 564
19.6%
Distinct669
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:58:58.795471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.355
Min length2

Characters and Unicode

Total characters4355
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique439 ?
Unique (%)43.9%

Sample

1st row119.8
2nd row187.5
3rd row151.2
4th row193.6
5th row227.6
ValueCountFrequency (%)
85.2 5
 
0.5%
81.2 5
 
0.5%
104.9 4
 
0.4%
79 4
 
0.4%
114.7 4
 
0.4%
83.5 4
 
0.4%
102 4
 
0.4%
91.3 4
 
0.4%
105.2 4
 
0.4%
102.4 4
 
0.4%
Other values (660) 959
95.8%
2023-12-09T20:58:59.388337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 904
20.8%
1 800
18.4%
9 366
8.4%
8 346
 
7.9%
7 324
 
7.4%
2 300
 
6.9%
6 280
 
6.4%
5 263
 
6.0%
3 258
 
5.9%
0 254
 
5.8%
Other values (12) 260
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3438
78.9%
Other Punctuation 904
 
20.8%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 800
23.3%
9 366
10.6%
8 346
10.1%
7 324
9.4%
2 300
 
8.7%
6 280
 
8.1%
5 263
 
7.6%
3 258
 
7.5%
0 254
 
7.4%
4 247
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 904
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4343
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 904
20.8%
1 800
18.4%
9 366
8.4%
8 346
 
8.0%
7 324
 
7.5%
2 300
 
6.9%
6 280
 
6.4%
5 263
 
6.1%
3 258
 
5.9%
0 254
 
5.8%
Other values (2) 248
 
5.7%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 904
20.8%
1 800
18.4%
9 366
8.4%
8 346
 
7.9%
7 324
 
7.4%
2 300
 
6.9%
6 280
 
6.4%
5 263
 
6.0%
3 258
 
5.9%
0 254
 
5.8%
Other values (12) 260
 
6.0%
Distinct660
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:58:59.884215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.547
Min length2

Characters and Unicode

Total characters4547
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)43.4%

Sample

1st row119.5
2nd row185.5
3rd row150.8
4th row191
5th row227.5
ValueCountFrequency (%)
not 24
 
2.3%
available 24
 
2.3%
83.5 5
 
0.5%
86.2 4
 
0.4%
96.3 4
 
0.4%
107.1 4
 
0.4%
94.6 4
 
0.4%
123.4 4
 
0.4%
91.5 4
 
0.4%
82.8 4
 
0.4%
Other values (651) 943
92.1%
2023-12-09T20:59:00.510107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 882
19.4%
1 795
17.5%
9 397
8.7%
8 340
 
7.5%
7 314
 
6.9%
2 288
 
6.3%
6 287
 
6.3%
5 253
 
5.6%
3 246
 
5.4%
0 218
 
4.8%
Other values (12) 527
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3353
73.7%
Other Punctuation 882
 
19.4%
Lowercase Letter 240
 
5.3%
Uppercase Letter 48
 
1.1%
Space Separator 24
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 795
23.7%
9 397
11.8%
8 340
10.1%
7 314
 
9.4%
2 288
 
8.6%
6 287
 
8.6%
5 253
 
7.5%
3 246
 
7.3%
0 218
 
6.5%
4 215
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
l 48
20.0%
a 48
20.0%
e 24
10.0%
o 24
10.0%
b 24
10.0%
i 24
10.0%
v 24
10.0%
t 24
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 24
50.0%
N 24
50.0%
Other Punctuation
ValueCountFrequency (%)
. 882
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4259
93.7%
Latin 288
 
6.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 882
20.7%
1 795
18.7%
9 397
9.3%
8 340
 
8.0%
7 314
 
7.4%
2 288
 
6.8%
6 287
 
6.7%
5 253
 
5.9%
3 246
 
5.8%
0 218
 
5.1%
Other values (2) 239
 
5.6%
Latin
ValueCountFrequency (%)
l 48
16.7%
a 48
16.7%
e 24
8.3%
o 24
8.3%
b 24
8.3%
i 24
8.3%
v 24
8.3%
A 24
8.3%
t 24
8.3%
N 24
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 882
19.4%
1 795
17.5%
9 397
8.7%
8 340
 
7.5%
7 314
 
6.9%
2 288
 
6.3%
6 287
 
6.3%
5 253
 
5.6%
3 246
 
5.4%
0 218
 
4.8%
Other values (12) 527
11.6%
Distinct592
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size60.4 KiB
2023-12-09T20:59:01.003538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.744
Min length2

Characters and Unicode

Total characters4744
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)35.7%

Sample

1st row193.8
2nd row242.3
3rd row208.9
4th row232.7
5th row218.7
ValueCountFrequency (%)
134.6 7
 
0.7%
131.9 6
 
0.6%
129.3 6
 
0.6%
120.3 6
 
0.6%
137 5
 
0.5%
119 5
 
0.5%
130.3 5
 
0.5%
133.2 5
 
0.5%
111.5 5
 
0.5%
133.1 5
 
0.5%
Other values (582) 945
94.5%
2023-12-09T20:59:01.619443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1211
25.5%
. 901
19.0%
2 500
10.5%
3 443
 
9.3%
4 325
 
6.9%
9 266
 
5.6%
5 231
 
4.9%
8 231
 
4.9%
0 221
 
4.7%
6 215
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3843
81.0%
Other Punctuation 901
 
19.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1211
31.5%
2 500
13.0%
3 443
 
11.5%
4 325
 
8.5%
9 266
 
6.9%
5 231
 
6.0%
8 231
 
6.0%
0 221
 
5.8%
6 215
 
5.6%
7 200
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4744
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1211
25.5%
. 901
19.0%
2 500
10.5%
3 443
 
9.3%
4 325
 
6.9%
9 266
 
5.6%
5 231
 
4.9%
8 231
 
4.9%
0 221
 
4.7%
6 215
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4744
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1211
25.5%
. 901
19.0%
2 500
10.5%
3 443
 
9.3%
4 325
 
6.9%
9 266
 
5.6%
5 231
 
4.9%
8 231
 
4.9%
0 221
 
4.7%
6 215
 
4.5%
Distinct562
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:59:02.078475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.475
Min length1

Characters and Unicode

Total characters4475
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)31.1%

Sample

1st row-38.2
2nd row-22.6
3rd row-27.6
4th row-16.8
5th row4.1
ValueCountFrequency (%)
14.1 8
 
0.8%
2.9 7
 
0.7%
12.4 7
 
0.7%
24.5 6
 
0.6%
20.2 6
 
0.6%
30.1 6
 
0.6%
21.7 6
 
0.6%
13.9 6
 
0.6%
25.7 6
 
0.6%
9.4 5
 
0.5%
Other values (454) 938
93.7%
2023-12-09T20:59:02.670272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 918
20.5%
- 815
18.2%
2 446
10.0%
1 393
8.8%
3 387
8.6%
4 330
 
7.4%
5 242
 
5.4%
9 229
 
5.1%
7 210
 
4.7%
6 200
 
4.5%
Other values (13) 305
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2729
61.0%
Other Punctuation 918
 
20.5%
Dash Punctuation 815
 
18.2%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 446
16.3%
1 393
14.4%
3 387
14.2%
4 330
12.1%
5 242
8.9%
9 229
8.4%
7 210
7.7%
6 200
7.3%
8 185
6.8%
0 107
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
o 1
10.0%
t 1
10.0%
v 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 815
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4463
99.7%
Latin 12
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 918
20.6%
- 815
18.3%
2 446
10.0%
1 393
8.8%
3 387
8.7%
4 330
 
7.4%
5 242
 
5.4%
9 229
 
5.1%
7 210
 
4.7%
6 200
 
4.5%
Other values (3) 293
 
6.6%
Latin
ValueCountFrequency (%)
a 2
16.7%
l 2
16.7%
N 1
8.3%
o 1
8.3%
t 1
8.3%
A 1
8.3%
v 1
8.3%
i 1
8.3%
b 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 918
20.5%
- 815
18.2%
2 446
10.0%
1 393
8.8%
3 387
8.6%
4 330
 
7.4%
5 242
 
5.4%
9 229
 
5.1%
7 210
 
4.7%
6 200
 
4.5%
Other values (13) 305
 
6.8%
Distinct997
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:59:02.994305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.507
Min length6

Characters and Unicode

Total characters9507
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique994 ?
Unique (%)99.4%

Sample

1st row82068339.9
2nd row72082693.1
3rd row87318063.7
4th row76385587.2
5th row364574864
ValueCountFrequency (%)
12667229.3 2
 
0.2%
23784643.3 2
 
0.2%
16685557 2
 
0.2%
16827850.5 1
 
0.1%
48880278.8 1
 
0.1%
6885426.3 1
 
0.1%
51395118.9 1
 
0.1%
13893980.9 1
 
0.1%
7780503.5 1
 
0.1%
8266695.4 1
 
0.1%
Other values (988) 988
98.7%
2023-12-09T20:59:03.467190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1240
13.0%
2 897
9.4%
. 890
9.4%
6 853
9.0%
8 849
8.9%
7 843
8.9%
9 839
8.8%
3 812
8.5%
5 804
8.5%
4 764
8.0%
Other values (12) 716
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8604
90.5%
Other Punctuation 890
 
9.4%
Lowercase Letter 10
 
0.1%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1240
14.4%
2 897
10.4%
6 853
9.9%
8 849
9.9%
7 843
9.8%
9 839
9.8%
3 812
9.4%
5 804
9.3%
4 764
8.9%
0 703
8.2%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 890
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9495
99.9%
Latin 12
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1240
13.1%
2 897
9.4%
. 890
9.4%
6 853
9.0%
8 849
8.9%
7 843
8.9%
9 839
8.8%
3 812
8.6%
5 804
8.5%
4 764
8.0%
Other values (2) 704
7.4%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1240
13.0%
2 897
9.4%
. 890
9.4%
6 853
9.0%
8 849
8.9%
7 843
8.9%
9 839
8.8%
3 812
8.5%
5 804
8.5%
4 764
8.0%
Other values (12) 716
7.5%
Distinct974
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:59:03.829164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.568
Min length7

Characters and Unicode

Total characters9568
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique970 ?
Unique (%)97.0%

Sample

1st row81862606.8
2nd row71307872.1
3rd row87106583.1
4th row75369458
5th row364396738.1
ValueCountFrequency (%)
not 24
 
2.3%
available 24
 
2.3%
12583854.5 2
 
0.2%
23766967.2 2
 
0.2%
16747122.4 2
 
0.2%
10745648.4 1
 
0.1%
7428527.9 1
 
0.1%
19653688 1
 
0.1%
8763721.6 1
 
0.1%
12534992 1
 
0.1%
Other values (965) 965
94.2%
2023-12-09T20:59:04.326818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1285
13.4%
. 862
9.0%
2 836
8.7%
3 828
8.7%
6 802
8.4%
7 802
8.4%
9 799
8.4%
8 779
8.1%
4 766
8.0%
5 760
7.9%
Other values (12) 1049
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8394
87.7%
Other Punctuation 862
 
9.0%
Lowercase Letter 240
 
2.5%
Uppercase Letter 48
 
0.5%
Space Separator 24
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1285
15.3%
2 836
10.0%
3 828
9.9%
6 802
9.6%
7 802
9.6%
9 799
9.5%
8 779
9.3%
4 766
9.1%
5 760
9.1%
0 737
8.8%
Lowercase Letter
ValueCountFrequency (%)
l 48
20.0%
a 48
20.0%
o 24
10.0%
e 24
10.0%
b 24
10.0%
i 24
10.0%
v 24
10.0%
t 24
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 24
50.0%
N 24
50.0%
Other Punctuation
ValueCountFrequency (%)
. 862
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9280
97.0%
Latin 288
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1285
13.8%
. 862
9.3%
2 836
9.0%
3 828
8.9%
6 802
8.6%
7 802
8.6%
9 799
8.6%
8 779
8.4%
4 766
8.3%
5 760
8.2%
Other values (2) 761
8.2%
Latin
ValueCountFrequency (%)
l 48
16.7%
a 48
16.7%
o 24
8.3%
e 24
8.3%
b 24
8.3%
i 24
8.3%
v 24
8.3%
A 24
8.3%
t 24
8.3%
N 24
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1285
13.4%
. 862
9.0%
2 836
8.7%
3 828
8.7%
6 802
8.4%
7 802
8.4%
9 799
8.4%
8 779
8.1%
4 766
8.0%
5 760
7.9%
Other values (12) 1049
11.0%

fuel_oil_1_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:04.513691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:04.803256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct370
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:59:05.258987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.523
Min length1

Characters and Unicode

Total characters9523
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)33.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 477
32.3%
available 477
32.3%
0 102
 
6.9%
414000 8
 
0.5%
276000 6
 
0.4%
552000.1 6
 
0.4%
552000 5
 
0.3%
193200 4
 
0.3%
662399.9 3
 
0.2%
344999.9 3
 
0.2%
Other values (361) 386
26.1%
2023-12-09T20:59:05.861990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 954
 
10.0%
a 954
 
10.0%
0 558
 
5.9%
i 477
 
5.0%
o 477
 
5.0%
e 477
 
5.0%
b 477
 
5.0%
N 477
 
5.0%
v 477
 
5.0%
A 477
 
5.0%
Other values (12) 3718
39.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4770
50.1%
Decimal Number 3075
32.3%
Uppercase Letter 954
 
10.0%
Space Separator 477
 
5.0%
Other Punctuation 247
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 558
18.1%
1 339
11.0%
9 328
10.7%
8 303
9.9%
2 295
9.6%
6 270
8.8%
3 267
8.7%
4 263
8.6%
5 253
8.2%
7 199
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 954
20.0%
a 954
20.0%
i 477
10.0%
o 477
10.0%
e 477
10.0%
b 477
10.0%
v 477
10.0%
t 477
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 477
50.0%
A 477
50.0%
Space Separator
ValueCountFrequency (%)
477
100.0%
Other Punctuation
ValueCountFrequency (%)
. 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5724
60.1%
Common 3799
39.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 558
14.7%
477
12.6%
1 339
8.9%
9 328
8.6%
8 303
8.0%
2 295
7.8%
6 270
7.1%
3 267
7.0%
4 263
6.9%
5 253
6.7%
Other values (2) 446
11.7%
Latin
ValueCountFrequency (%)
l 954
16.7%
a 954
16.7%
i 477
8.3%
o 477
8.3%
e 477
8.3%
b 477
8.3%
N 477
8.3%
v 477
8.3%
A 477
8.3%
t 477
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 954
 
10.0%
a 954
 
10.0%
0 558
 
5.9%
i 477
 
5.0%
o 477
 
5.0%
e 477
 
5.0%
b 477
 
5.0%
N 477
 
5.0%
v 477
 
5.0%
A 477
 
5.0%
Other values (12) 3718
39.0%
Distinct220
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:59:06.217960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.024
Min length1

Characters and Unicode

Total characters12024
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)21.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 776
43.7%
available 776
43.7%
0 6
 
0.3%
17990994.7 1
 
0.1%
4898007.8 1
 
0.1%
9104486.7 1
 
0.1%
12134351.8 1
 
0.1%
2828749.8 1
 
0.1%
6085061 1
 
0.1%
10143014.2 1
 
0.1%
Other values (211) 211
 
11.9%
2023-12-09T20:59:06.693058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1552
12.9%
l 1552
12.9%
N 776
 
6.5%
t 776
 
6.5%
776
 
6.5%
A 776
 
6.5%
v 776
 
6.5%
i 776
 
6.5%
b 776
 
6.5%
e 776
 
6.5%
Other values (12) 2712
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7760
64.5%
Decimal Number 1748
 
14.5%
Uppercase Letter 1552
 
12.9%
Space Separator 776
 
6.5%
Other Punctuation 188
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 200
11.4%
4 194
11.1%
2 181
10.4%
0 177
10.1%
1 176
10.1%
3 174
10.0%
7 166
9.5%
9 164
9.4%
6 159
9.1%
8 157
9.0%
Lowercase Letter
ValueCountFrequency (%)
a 1552
20.0%
l 1552
20.0%
t 776
10.0%
v 776
10.0%
i 776
10.0%
b 776
10.0%
e 776
10.0%
o 776
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 776
50.0%
A 776
50.0%
Space Separator
ValueCountFrequency (%)
776
100.0%
Other Punctuation
ValueCountFrequency (%)
. 188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9312
77.4%
Common 2712
 
22.6%

Most frequent character per script

Common
ValueCountFrequency (%)
776
28.6%
5 200
 
7.4%
4 194
 
7.2%
. 188
 
6.9%
2 181
 
6.7%
0 177
 
6.5%
1 176
 
6.5%
3 174
 
6.4%
7 166
 
6.1%
9 164
 
6.0%
Other values (2) 316
11.7%
Latin
ValueCountFrequency (%)
a 1552
16.7%
l 1552
16.7%
N 776
8.3%
t 776
8.3%
A 776
8.3%
v 776
8.3%
i 776
8.3%
b 776
8.3%
e 776
8.3%
o 776
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1552
12.9%
l 1552
12.9%
N 776
 
6.5%
t 776
 
6.5%
776
 
6.5%
A 776
 
6.5%
v 776
 
6.5%
i 776
 
6.5%
b 776
 
6.5%
e 776
 
6.5%
Other values (12) 2712
22.6%

fuel_oil_5_6_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:06.876971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:07.153785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:07.326359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.971
Min length1

Characters and Unicode

Total characters12971
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
0 2
 
0.1%
372655.2 1
 
0.1%
2023-12-09T20:59:07.616216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 9
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
2 2
22.2%
5 2
22.2%
3 1
11.1%
7 1
11.1%
6 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
99.0%
0 2
 
0.2%
2 2
 
0.2%
5 2
 
0.2%
3 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1007
7.8%

kerosene_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:07.801995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:08.093489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

propane_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:08.271531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:08.562605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct124
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:59:08.916124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.578
Min length6

Characters and Unicode

Total characters12578
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)12.2%

Sample

1st row8826445.8
2nd row19058831
3rd row12554187.8
4th row18573478.8
5th row11624187.2
ValueCountFrequency (%)
not 876
46.7%
available 876
46.7%
3019843.6 2
 
0.1%
27087720.8 1
 
0.1%
11624187.2 1
 
0.1%
20277529.1 1
 
0.1%
34588133.8 1
 
0.1%
5170020.2 1
 
0.1%
3930170.5 1
 
0.1%
15896029.6 1
 
0.1%
Other values (115) 115
 
6.1%
2023-12-09T20:59:09.425752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1752
13.9%
l 1752
13.9%
N 876
7.0%
t 876
7.0%
876
7.0%
A 876
7.0%
v 876
7.0%
i 876
7.0%
b 876
7.0%
e 876
7.0%
Other values (13) 2066
16.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8760
69.6%
Uppercase Letter 1752
 
13.9%
Decimal Number 1074
 
8.5%
Space Separator 876
 
7.0%
Other Punctuation 114
 
0.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 135
12.6%
3 124
11.5%
7 121
11.3%
2 118
11.0%
8 106
9.9%
9 102
9.5%
0 98
9.1%
4 95
8.8%
5 90
8.4%
6 85
7.9%
Lowercase Letter
ValueCountFrequency (%)
a 1752
20.0%
l 1752
20.0%
t 876
10.0%
v 876
10.0%
i 876
10.0%
b 876
10.0%
e 876
10.0%
o 876
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 876
50.0%
A 876
50.0%
Space Separator
ValueCountFrequency (%)
876
100.0%
Other Punctuation
ValueCountFrequency (%)
. 114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10512
83.6%
Common 2066
 
16.4%

Most frequent character per script

Common
ValueCountFrequency (%)
876
42.4%
1 135
 
6.5%
3 124
 
6.0%
7 121
 
5.9%
2 118
 
5.7%
. 114
 
5.5%
8 106
 
5.1%
9 102
 
4.9%
0 98
 
4.7%
4 95
 
4.6%
Other values (3) 177
 
8.6%
Latin
ValueCountFrequency (%)
a 1752
16.7%
l 1752
16.7%
N 876
8.3%
t 876
8.3%
A 876
8.3%
v 876
8.3%
i 876
8.3%
b 876
8.3%
e 876
8.3%
o 876
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1752
13.9%
l 1752
13.9%
N 876
7.0%
t 876
7.0%
876
7.0%
A 876
7.0%
v 876
7.0%
i 876
7.0%
b 876
7.0%
e 876
7.0%
Other values (13) 2066
16.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:09.621013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length9

Characters and Unicode

Total characters12993
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
8814200.6 1
 
0.1%
21683999.5 1
 
0.1%
2023-12-09T20:59:09.944535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (11) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 17
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 3
17.6%
9 3
17.6%
1 2
11.8%
2 2
11.8%
0 2
11.8%
6 2
11.8%
4 1
 
5.9%
3 1
 
5.9%
5 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1017
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
998
98.1%
8 3
 
0.3%
9 3
 
0.3%
1 2
 
0.2%
2 2
 
0.2%
0 2
 
0.2%
. 2
 
0.2%
6 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (11) 1017
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:10.126973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.996
Min length9

Characters and Unicode

Total characters12996
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1901799.2 1
 
0.1%
2023-12-09T20:59:10.443552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 8
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
9 3
37.5%
1 2
25.0%
0 1
 
12.5%
7 1
 
12.5%
2 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.1%
9 3
 
0.3%
1 2
 
0.2%
0 1
 
0.1%
7 1
 
0.1%
. 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1008
7.8%
Distinct901
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T20:59:10.857661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.644
Min length1

Characters and Unicode

Total characters7644
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique871 ?
Unique (%)87.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd row950954.5
4th row2142090.3
5th row37942740.9
ValueCountFrequency (%)
not 60
 
5.7%
available 60
 
5.7%
0 8
 
0.8%
1100 5
 
0.5%
600 3
 
0.3%
209200 3
 
0.3%
40100 2
 
0.2%
253300 2
 
0.2%
1300 2
 
0.2%
3553433 2
 
0.2%
Other values (892) 913
86.1%
2023-12-09T20:59:11.414926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1727
22.6%
9 827
10.8%
1 615
 
8.0%
3 546
 
7.1%
2 523
 
6.8%
4 500
 
6.5%
5 451
 
5.9%
8 438
 
5.7%
. 434
 
5.7%
6 412
 
5.4%
Other values (12) 1171
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6430
84.1%
Lowercase Letter 600
 
7.8%
Other Punctuation 434
 
5.7%
Uppercase Letter 120
 
1.6%
Space Separator 60
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1727
26.9%
9 827
12.9%
1 615
 
9.6%
3 546
 
8.5%
2 523
 
8.1%
4 500
 
7.8%
5 451
 
7.0%
8 438
 
6.8%
6 412
 
6.4%
7 391
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 120
20.0%
a 120
20.0%
b 60
10.0%
e 60
10.0%
o 60
10.0%
i 60
10.0%
v 60
10.0%
t 60
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 60
50.0%
N 60
50.0%
Other Punctuation
ValueCountFrequency (%)
. 434
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6924
90.6%
Latin 720
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1727
24.9%
9 827
11.9%
1 615
 
8.9%
3 546
 
7.9%
2 523
 
7.6%
4 500
 
7.2%
5 451
 
6.5%
8 438
 
6.3%
. 434
 
6.3%
6 412
 
6.0%
Other values (2) 451
 
6.5%
Latin
ValueCountFrequency (%)
l 120
16.7%
a 120
16.7%
b 60
8.3%
e 60
8.3%
o 60
8.3%
i 60
8.3%
v 60
8.3%
A 60
8.3%
t 60
8.3%
N 60
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1727
22.6%
9 827
10.8%
1 615
 
8.0%
3 546
 
7.1%
2 523
 
6.8%
4 500
 
6.5%
5 451
 
5.9%
8 438
 
5.7%
. 434
 
5.7%
6 412
 
5.4%
Other values (12) 1171
15.3%
Distinct930
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2023-12-09T20:59:12.216275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.874
Min length1

Characters and Unicode

Total characters10874
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique924 ?
Unique (%)92.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row9509.545329
4th row21420.90327
5th row379427.409
ValueCountFrequency (%)
not 60
 
5.7%
available 60
 
5.7%
0 8
 
0.8%
0.99999986 2
 
0.2%
16041.99952 2
 
0.2%
3998.00005 2
 
0.2%
35534.33025 2
 
0.2%
14566.99971 1
 
0.1%
58464.99929 1
 
0.1%
48787.00104 1
 
0.1%
Other values (921) 921
86.9%
2023-12-09T20:59:12.714811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1991
18.3%
0 1707
15.7%
. 928
8.5%
1 821
7.6%
2 725
 
6.7%
3 708
 
6.5%
8 691
 
6.4%
4 689
 
6.3%
5 636
 
5.8%
6 599
 
5.5%
Other values (12) 1379
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9166
84.3%
Other Punctuation 928
 
8.5%
Lowercase Letter 600
 
5.5%
Uppercase Letter 120
 
1.1%
Space Separator 60
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1991
21.7%
0 1707
18.6%
1 821
9.0%
2 725
 
7.9%
3 708
 
7.7%
8 691
 
7.5%
4 689
 
7.5%
5 636
 
6.9%
6 599
 
6.5%
7 599
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 120
20.0%
a 120
20.0%
o 60
10.0%
e 60
10.0%
b 60
10.0%
i 60
10.0%
v 60
10.0%
t 60
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 60
50.0%
N 60
50.0%
Other Punctuation
ValueCountFrequency (%)
. 928
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10154
93.4%
Latin 720
 
6.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1991
19.6%
0 1707
16.8%
. 928
9.1%
1 821
8.1%
2 725
 
7.1%
3 708
 
7.0%
8 691
 
6.8%
4 689
 
6.8%
5 636
 
6.3%
6 599
 
5.9%
Other values (2) 659
 
6.5%
Latin
ValueCountFrequency (%)
l 120
16.7%
a 120
16.7%
o 60
8.3%
e 60
8.3%
b 60
8.3%
i 60
8.3%
v 60
8.3%
A 60
8.3%
t 60
8.3%
N 60
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1991
18.3%
0 1707
15.7%
. 928
8.5%
1 821
7.6%
2 725
 
6.7%
3 708
 
6.5%
8 691
 
6.4%
4 689
 
6.3%
5 636
 
5.8%
6 599
 
5.5%
Other values (12) 1379
12.7%
Distinct915
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2023-12-09T20:59:13.207294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.138
Min length1

Characters and Unicode

Total characters6138
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique898 ?
Unique (%)89.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row9509.5
4th row21420.9
5th row377952.2
ValueCountFrequency (%)
not 62
 
5.8%
available 62
 
5.8%
0 8
 
0.8%
11.1 3
 
0.3%
2092 3
 
0.3%
401 2
 
0.2%
664 2
 
0.2%
932 2
 
0.2%
6 2
 
0.2%
797 2
 
0.2%
Other values (906) 914
86.1%
2023-12-09T20:59:13.817437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 605
9.9%
1 563
9.2%
3 560
9.1%
2 555
9.0%
4 539
8.8%
5 486
7.9%
7 439
 
7.2%
6 432
 
7.0%
8 412
 
6.7%
9 396
 
6.5%
Other values (12) 1151
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4727
77.0%
Lowercase Letter 620
 
10.1%
Other Punctuation 605
 
9.9%
Uppercase Letter 124
 
2.0%
Space Separator 62
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 563
11.9%
3 560
11.8%
2 555
11.7%
4 539
11.4%
5 486
10.3%
7 439
9.3%
6 432
9.1%
8 412
8.7%
9 396
8.4%
0 345
7.3%
Lowercase Letter
ValueCountFrequency (%)
l 124
20.0%
a 124
20.0%
o 62
10.0%
e 62
10.0%
b 62
10.0%
i 62
10.0%
v 62
10.0%
t 62
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 62
50.0%
N 62
50.0%
Other Punctuation
ValueCountFrequency (%)
. 605
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5394
87.9%
Latin 744
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 605
11.2%
1 563
10.4%
3 560
10.4%
2 555
10.3%
4 539
10.0%
5 486
9.0%
7 439
8.1%
6 432
8.0%
8 412
7.6%
9 396
7.3%
Other values (2) 407
7.5%
Latin
ValueCountFrequency (%)
l 124
16.7%
a 124
16.7%
o 62
8.3%
e 62
8.3%
b 62
8.3%
i 62
8.3%
v 62
8.3%
A 62
8.3%
t 62
8.3%
N 62
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6138
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 605
9.9%
1 563
9.2%
3 560
9.1%
2 555
9.0%
4 539
8.8%
5 486
7.9%
7 439
 
7.2%
6 432
 
7.0%
8 412
 
6.7%
9 396
 
6.5%
Other values (12) 1151
18.8%
Distinct965
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:59:14.202018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.817
Min length1

Characters and Unicode

Total characters8817
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique931 ?
Unique (%)93.1%

Sample

1st row25517772.4
2nd row17555048.6
3rd row25434413.5
4th row18497047.9
5th row110982361.2
ValueCountFrequency (%)
not 3
 
0.3%
available 3
 
0.3%
1465795.2 2
 
0.2%
1796076.8 2
 
0.2%
803867.2 2
 
0.2%
1274723.2 2
 
0.2%
1101393.6 2
 
0.2%
2735059.2 2
 
0.2%
1465249.3 2
 
0.2%
4626590.1 2
 
0.2%
Other values (956) 981
97.8%
2023-12-09T20:59:14.714662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1116
12.7%
2 953
10.8%
. 872
9.9%
4 798
9.1%
3 778
8.8%
8 767
8.7%
6 754
8.6%
5 751
8.5%
7 704
8.0%
9 667
7.6%
Other values (12) 657
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7906
89.7%
Other Punctuation 872
 
9.9%
Lowercase Letter 30
 
0.3%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1116
14.1%
2 953
12.1%
4 798
10.1%
3 778
9.8%
8 767
9.7%
6 754
9.5%
5 751
9.5%
7 704
8.9%
9 667
8.4%
0 618
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
v 3
10.0%
t 3
10.0%
o 3
10.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 872
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8781
99.6%
Latin 36
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1116
12.7%
2 953
10.9%
. 872
9.9%
4 798
9.1%
3 778
8.9%
8 767
8.7%
6 754
8.6%
5 751
8.6%
7 704
8.0%
9 667
7.6%
Other values (2) 621
7.1%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
v 3
8.3%
t 3
8.3%
A 3
8.3%
o 3
8.3%
e 3
8.3%
b 3
8.3%
i 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1116
12.7%
2 953
10.8%
. 872
9.9%
4 798
9.1%
3 778
8.8%
8 767
8.7%
6 754
8.6%
5 751
8.5%
7 704
8.0%
9 667
7.6%
Other values (12) 657
7.5%
Distinct959
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size63.5 KiB
2023-12-09T20:59:15.121418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.887
Min length1

Characters and Unicode

Total characters7887
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique920 ?
Unique (%)92.0%

Sample

1st row7478830.4
2nd row5145089.8
3rd row7454399.3
4th row5421174
5th row32527065.5
ValueCountFrequency (%)
not 3
 
0.3%
313920 3
 
0.3%
available 3
 
0.3%
671999.9 2
 
0.2%
658399.9 2
 
0.2%
492799.9 2
 
0.2%
856799.9 2
 
0.2%
535359.9 2
 
0.2%
879199.9 2
 
0.2%
515999.9 2
 
0.2%
Other values (950) 980
97.7%
2023-12-09T20:59:15.656904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 2067
26.2%
. 754
 
9.6%
1 662
 
8.4%
0 661
 
8.4%
3 622
 
7.9%
5 570
 
7.2%
7 553
 
7.0%
4 528
 
6.7%
2 515
 
6.5%
6 461
 
5.8%
Other values (12) 494
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7094
89.9%
Other Punctuation 754
 
9.6%
Lowercase Letter 30
 
0.4%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 2067
29.1%
1 662
 
9.3%
0 661
 
9.3%
3 622
 
8.8%
5 570
 
8.0%
7 553
 
7.8%
4 528
 
7.4%
2 515
 
7.3%
6 461
 
6.5%
8 455
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
e 3
10.0%
o 3
10.0%
b 3
10.0%
i 3
10.0%
v 3
10.0%
t 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 754
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7851
99.5%
Latin 36
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
9 2067
26.3%
. 754
 
9.6%
1 662
 
8.4%
0 661
 
8.4%
3 622
 
7.9%
5 570
 
7.3%
7 553
 
7.0%
4 528
 
6.7%
2 515
 
6.6%
6 461
 
5.9%
Other values (2) 458
 
5.8%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
e 3
8.3%
o 3
8.3%
b 3
8.3%
i 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 2067
26.2%
. 754
 
9.6%
1 662
 
8.4%
0 661
 
8.4%
3 622
 
7.9%
5 570
 
7.2%
7 553
 
7.0%
4 528
 
6.7%
2 515
 
6.5%
6 461
 
5.8%
Other values (12) 494
 
6.3%
Distinct977
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T20:59:16.042565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.955
Min length1

Characters and Unicode

Total characters7955
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique957 ?
Unique (%)95.7%

Sample

1st row7478830.4
2nd row5130034.1
3rd row7439591
4th row5421174
5th row32527065.5
ValueCountFrequency (%)
not 4
 
0.4%
available 4
 
0.4%
313920 3
 
0.3%
535359.9 2
 
0.2%
2109324.8 2
 
0.2%
235600 2
 
0.2%
801599.9 2
 
0.2%
879199.9 2
 
0.2%
492799.9 2
 
0.2%
1355975.8 2
 
0.2%
Other values (968) 979
97.5%
2023-12-09T20:59:16.553073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1579
19.8%
. 786
9.9%
1 714
9.0%
0 679
8.5%
3 655
8.2%
5 626
 
7.9%
4 606
 
7.6%
2 606
 
7.6%
7 572
 
7.2%
6 570
 
7.2%
Other values (12) 562
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7117
89.5%
Other Punctuation 786
 
9.9%
Lowercase Letter 40
 
0.5%
Uppercase Letter 8
 
0.1%
Space Separator 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1579
22.2%
1 714
10.0%
0 679
9.5%
3 655
9.2%
5 626
 
8.8%
4 606
 
8.5%
2 606
 
8.5%
7 572
 
8.0%
6 570
 
8.0%
8 510
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
l 8
20.0%
a 8
20.0%
o 4
10.0%
e 4
10.0%
b 4
10.0%
i 4
10.0%
v 4
10.0%
t 4
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
50.0%
N 4
50.0%
Other Punctuation
ValueCountFrequency (%)
. 786
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7907
99.4%
Latin 48
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1579
20.0%
. 786
9.9%
1 714
9.0%
0 679
8.6%
3 655
8.3%
5 626
 
7.9%
4 606
 
7.7%
2 606
 
7.7%
7 572
 
7.2%
6 570
 
7.2%
Other values (2) 514
 
6.5%
Latin
ValueCountFrequency (%)
l 8
16.7%
a 8
16.7%
o 4
8.3%
e 4
8.3%
b 4
8.3%
i 4
8.3%
v 4
8.3%
A 4
8.3%
t 4
8.3%
N 4
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1579
19.8%
. 786
9.9%
1 714
9.0%
0 679
8.5%
3 655
8.2%
5 626
 
7.9%
4 606
 
7.6%
2 606
 
7.6%
7 572
 
7.2%
6 570
 
7.2%
Other values (12) 562
 
7.1%
Distinct952
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:59:16.928526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.776
Min length1

Characters and Unicode

Total characters8776
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)90.7%

Sample

1st row25517771.4
2nd row17555047.1
3rd row25434412.8
4th row18497049.1
5th row110982362.8
ValueCountFrequency (%)
1071095 3
 
0.3%
not 3
 
0.3%
available 3
 
0.3%
1629571.2 3
 
0.3%
2292864 2
 
0.2%
3020302.4 2
 
0.2%
1632300.8 2
 
0.2%
7197016.9 2
 
0.2%
1914814.4 2
 
0.2%
1882059.2 2
 
0.2%
Other values (943) 979
97.6%
2023-12-09T20:59:17.439318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1091
12.4%
2 984
11.2%
. 851
9.7%
4 838
9.5%
6 813
9.3%
8 811
9.2%
3 751
8.6%
5 702
8.0%
7 656
7.5%
9 631
7.2%
Other values (12) 648
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7886
89.9%
Other Punctuation 851
 
9.7%
Lowercase Letter 30
 
0.3%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1091
13.8%
2 984
12.5%
4 838
10.6%
6 813
10.3%
8 811
10.3%
3 751
9.5%
5 702
8.9%
7 656
8.3%
9 631
8.0%
0 609
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
e 3
10.0%
b 3
10.0%
v 3
10.0%
i 3
10.0%
t 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 851
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8740
99.6%
Latin 36
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1091
12.5%
2 984
11.3%
. 851
9.7%
4 838
9.6%
6 813
9.3%
8 811
9.3%
3 751
8.6%
5 702
8.0%
7 656
7.5%
9 631
7.2%
Other values (2) 612
7.0%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
e 3
8.3%
b 3
8.3%
v 3
8.3%
i 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1091
12.4%
2 984
11.2%
. 851
9.7%
4 838
9.5%
6 813
9.3%
8 811
9.2%
3 751
8.6%
5 702
8.0%
7 656
7.5%
9 631
7.2%
Other values (12) 648
7.4%
Distinct952
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-09T20:59:17.872406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.449
Min length1

Characters and Unicode

Total characters6449
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique907 ?
Unique (%)90.7%

Sample

1st row7478831
2nd row5145090
3rd row7454400
4th row5421175
5th row32527070
ValueCountFrequency (%)
313920 3
 
0.3%
available 3
 
0.3%
477600 3
 
0.3%
not 3
 
0.3%
478400 2
 
0.2%
322800 2
 
0.2%
496640 2
 
0.2%
1087200 2
 
0.2%
524000 2
 
0.2%
658400 2
 
0.2%
Other values (943) 979
97.6%
2023-12-09T20:59:18.438544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1865
28.9%
4 647
 
10.0%
2 628
 
9.7%
6 583
 
9.0%
1 532
 
8.2%
8 508
 
7.9%
3 468
 
7.3%
5 403
 
6.2%
7 381
 
5.9%
9 362
 
5.6%
Other values (12) 72
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6377
98.9%
Other Punctuation 33
 
0.5%
Lowercase Letter 30
 
0.5%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1865
29.2%
4 647
 
10.1%
2 628
 
9.8%
6 583
 
9.1%
1 532
 
8.3%
8 508
 
8.0%
3 468
 
7.3%
5 403
 
6.3%
7 381
 
6.0%
9 362
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
v 3
10.0%
i 3
10.0%
b 3
10.0%
e 3
10.0%
t 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 33
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6413
99.4%
Latin 36
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1865
29.1%
4 647
 
10.1%
2 628
 
9.8%
6 583
 
9.1%
1 532
 
8.3%
8 508
 
7.9%
3 468
 
7.3%
5 403
 
6.3%
7 381
 
5.9%
9 362
 
5.6%
Other values (2) 36
 
0.6%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
v 3
8.3%
i 3
8.3%
b 3
8.3%
e 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1865
28.9%
4 647
 
10.0%
2 628
 
9.7%
6 583
 
9.0%
1 532
 
8.2%
8 508
 
7.9%
3 468
 
7.3%
5 403
 
6.2%
7 381
 
5.9%
9 362
 
5.6%
Other values (12) 72
 
1.1%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:18.689389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.872
Min length6

Characters and Unicode

Total characters12872
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
1226621.8 1
 
0.1%
387511.8 1
 
0.1%
1370889.7 1
 
0.1%
442537.1 1
 
0.1%
493978.1 1
 
0.1%
628347.1 1
 
0.1%
498531.8 1
 
0.1%
1075779.7 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:59:19.063691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
o 974
7.6%
e 974
7.6%
i 974
7.6%
b 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (12) 1184
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.7%
Uppercase Letter 1948
 
15.1%
Space Separator 974
 
7.6%
Decimal Number 186
 
1.4%
Other Punctuation 24
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
14.5%
8 23
12.4%
5 22
11.8%
7 21
11.3%
3 18
9.7%
4 18
9.7%
2 17
9.1%
6 16
8.6%
9 14
7.5%
0 10
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
e 974
10.0%
i 974
10.0%
b 974
10.0%
v 974
10.0%
t 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.8%
Common 1184
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
974
82.3%
1 27
 
2.3%
. 24
 
2.0%
8 23
 
1.9%
5 22
 
1.9%
7 21
 
1.8%
3 18
 
1.5%
4 18
 
1.5%
2 17
 
1.4%
6 16
 
1.4%
Other values (2) 24
 
2.0%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
e 974
8.3%
i 974
8.3%
b 974
8.3%
v 974
8.3%
A 974
8.3%
t 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12872
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
o 974
7.6%
e 974
7.6%
i 974
7.6%
b 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (12) 1184
9.2%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:19.313525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.862
Min length6

Characters and Unicode

Total characters12862
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
190717.3 1
 
0.1%
104569.1 1
 
0.1%
235555.3 1
 
0.1%
101208.2 1
 
0.1%
182039.9 1
 
0.1%
309764.5 1
 
0.1%
184158 1
 
0.1%
48868.7 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:59:19.691086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1174
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.7%
Uppercase Letter 1948
 
15.1%
Space Separator 974
 
7.6%
Decimal Number 177
 
1.4%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
18.1%
3 23
13.0%
5 21
11.9%
4 18
10.2%
2 17
9.6%
0 17
9.6%
7 15
8.5%
8 14
7.9%
6 11
 
6.2%
9 9
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.9%
Common 1174
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
974
83.0%
1 32
 
2.7%
. 23
 
2.0%
3 23
 
2.0%
5 21
 
1.8%
4 18
 
1.5%
2 17
 
1.4%
0 17
 
1.4%
7 15
 
1.3%
8 14
 
1.2%
Other values (2) 20
 
1.7%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1174
9.1%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:19.937361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.864
Min length6

Characters and Unicode

Total characters12864
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
317162 1
 
0.1%
101208.2 1
 
0.1%
544407.6 1
 
0.1%
182039.9 1
 
0.1%
48916.5 1
 
0.1%
108764.1 1
 
0.1%
540981.8 1
 
0.1%
273957.5 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:59:20.320614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1176
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.7%
Uppercase Letter 1948
 
15.1%
Space Separator 974
 
7.6%
Decimal Number 178
 
1.4%
Other Punctuation 24
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
19.7%
7 20
11.2%
0 19
10.7%
2 18
10.1%
4 17
9.6%
3 16
9.0%
5 16
9.0%
8 14
 
7.9%
6 12
 
6.7%
9 11
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.9%
Common 1176
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
974
82.8%
1 35
 
3.0%
. 24
 
2.0%
7 20
 
1.7%
0 19
 
1.6%
2 18
 
1.5%
4 17
 
1.4%
3 16
 
1.4%
5 16
 
1.4%
8 14
 
1.2%
Other values (2) 23
 
2.0%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1176
9.1%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:20.530114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.759
Min length1

Characters and Unicode

Total characters12759
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
0 12
 
0.6%
37869.4 1
 
0.1%
36796.1 1
 
0.1%
209963 1
 
0.1%
745.2 1
 
0.1%
11302.8 1
 
0.1%
38402.2 1
 
0.1%
20188.8 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T20:59:20.855842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1071
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.3%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 86
 
0.7%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
19.8%
8 12
14.0%
9 8
9.3%
7 8
9.3%
3 8
9.3%
2 8
9.3%
4 7
8.1%
6 7
8.1%
1 6
 
7.0%
5 5
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.6%
Common 1071
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
974
90.9%
0 17
 
1.6%
8 12
 
1.1%
. 11
 
1.0%
9 8
 
0.7%
7 8
 
0.7%
3 8
 
0.7%
2 8
 
0.7%
4 7
 
0.7%
6 7
 
0.7%
Other values (2) 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1071
8.4%
Distinct451
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:59:21.262915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.081
Min length1

Characters and Unicode

Total characters5081
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)31.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 140
 
12.3%
available 140
 
12.3%
200 11
 
1.0%
192 10
 
0.9%
144 10
 
0.9%
276 10
 
0.9%
376 10
 
0.9%
240 9
 
0.8%
336 9
 
0.8%
264 9
 
0.8%
Other values (442) 782
68.6%
2023-12-09T20:59:21.923240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 583
 
11.5%
1 426
 
8.4%
4 377
 
7.4%
. 356
 
7.0%
6 310
 
6.1%
8 284
 
5.6%
a 280
 
5.5%
l 280
 
5.5%
3 239
 
4.7%
0 232
 
4.6%
Other values (12) 1714
33.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2905
57.2%
Lowercase Letter 1400
27.6%
Other Punctuation 356
 
7.0%
Uppercase Letter 280
 
5.5%
Space Separator 140
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 583
20.1%
1 426
14.7%
4 377
13.0%
6 310
10.7%
8 284
9.8%
3 239
8.2%
0 232
 
8.0%
5 175
 
6.0%
7 142
 
4.9%
9 137
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 280
20.0%
l 280
20.0%
t 140
10.0%
v 140
10.0%
o 140
10.0%
e 140
10.0%
b 140
10.0%
i 140
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 140
50.0%
N 140
50.0%
Other Punctuation
ValueCountFrequency (%)
. 356
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3401
66.9%
Latin 1680
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 583
17.1%
1 426
12.5%
4 377
11.1%
. 356
10.5%
6 310
9.1%
8 284
8.4%
3 239
7.0%
0 232
 
6.8%
5 175
 
5.1%
7 142
 
4.2%
Other values (2) 277
8.1%
Latin
ValueCountFrequency (%)
a 280
16.7%
l 280
16.7%
A 140
8.3%
t 140
8.3%
v 140
8.3%
o 140
8.3%
e 140
8.3%
b 140
8.3%
i 140
8.3%
N 140
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5081
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 583
 
11.5%
1 426
 
8.4%
4 377
 
7.4%
. 356
 
7.0%
6 310
 
6.1%
8 284
 
5.6%
a 280
 
5.5%
l 280
 
5.5%
3 239
 
4.7%
0 232
 
4.6%
Other values (12) 1714
33.7%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T20:59:22.193344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.84
Min length7

Characters and Unicode

Total characters7840
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
09/2019 332
29.1%
10/2019 181
15.9%
not 140
12.3%
available 140
12.3%
07/2019 104
 
9.1%
06/2019 96
 
8.4%
08/2019 43
 
3.8%
05/2019 29
 
2.5%
01/2019 22
 
1.9%
02/2019 16
 
1.4%
Other values (4) 37
 
3.2%
2023-12-09T20:59:22.653374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1695
21.6%
9 1192
15.2%
1 1102
14.1%
2 887
11.3%
/ 860
11.0%
l 280
 
3.6%
a 280
 
3.6%
t 140
 
1.8%
140
 
1.8%
A 140
 
1.8%
Other values (12) 1124
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5160
65.8%
Lowercase Letter 1400
 
17.9%
Other Punctuation 860
 
11.0%
Uppercase Letter 280
 
3.6%
Space Separator 140
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1695
32.8%
9 1192
23.1%
1 1102
21.4%
2 887
17.2%
7 104
 
2.0%
6 96
 
1.9%
8 43
 
0.8%
5 29
 
0.6%
3 6
 
0.1%
4 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
l 280
20.0%
a 280
20.0%
t 140
10.0%
v 140
10.0%
o 140
10.0%
i 140
10.0%
b 140
10.0%
e 140
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 140
50.0%
N 140
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 860
100.0%
Space Separator
ValueCountFrequency (%)
140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6160
78.6%
Latin 1680
 
21.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1695
27.5%
9 1192
19.4%
1 1102
17.9%
2 887
14.4%
/ 860
14.0%
140
 
2.3%
7 104
 
1.7%
6 96
 
1.6%
8 43
 
0.7%
5 29
 
0.5%
Other values (2) 12
 
0.2%
Latin
ValueCountFrequency (%)
l 280
16.7%
a 280
16.7%
t 140
8.3%
A 140
8.3%
v 140
8.3%
o 140
8.3%
i 140
8.3%
N 140
8.3%
b 140
8.3%
e 140
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1695
21.6%
9 1192
15.2%
1 1102
14.1%
2 887
11.3%
/ 860
11.0%
l 280
 
3.6%
a 280
 
3.6%
t 140
 
1.8%
140
 
1.8%
A 140
 
1.8%
Other values (12) 1124
14.3%
Distinct861
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size72.7 KiB
2023-12-09T20:59:23.199320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length18
Mean length17.343
Min length13

Characters and Unicode

Total characters17343
Distinct characters36
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique860 ?
Unique (%)86.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 140
 
7.0%
available 140
 
7.0%
0400220e 1
 
< 0.1%
7978858 1
 
< 0.1%
0401459e 1
 
< 0.1%
7935644 1
 
< 0.1%
0100102e 1
 
< 0.1%
7877749 1
 
< 0.1%
0300086e 1
 
< 0.1%
7896896 1
 
< 0.1%
Other values (1718) 1718
85.6%
2023-12-09T20:59:24.014554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3557
20.5%
3 1207
 
7.0%
7 1205
 
6.9%
1 1152
 
6.6%
8 1104
 
6.4%
1006
 
5.8%
E 861
 
5.0%
) 860
 
5.0%
( 860
 
5.0%
9 856
 
4.9%
Other values (26) 4675
27.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12040
69.4%
Lowercase Letter 1431
 
8.3%
Uppercase Letter 1144
 
6.6%
Space Separator 1006
 
5.8%
Close Punctuation 860
 
5.0%
Open Punctuation 860
 
5.0%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 283
19.8%
a 281
19.6%
t 144
10.1%
e 144
10.1%
i 143
10.0%
o 143
10.0%
b 140
9.8%
v 140
9.8%
c 4
 
0.3%
r 3
 
0.2%
Other values (5) 6
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 3557
29.5%
3 1207
 
10.0%
7 1205
 
10.0%
1 1152
 
9.6%
8 1104
 
9.2%
9 856
 
7.1%
2 848
 
7.0%
4 841
 
7.0%
5 672
 
5.6%
6 598
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
E 861
75.3%
N 140
 
12.2%
A 140
 
12.2%
S 1
 
0.1%
C 1
 
0.1%
M 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1006
100.0%
Close Punctuation
ValueCountFrequency (%)
) 860
100.0%
Open Punctuation
ValueCountFrequency (%)
( 860
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14768
85.2%
Latin 2575
 
14.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 861
33.4%
l 283
 
11.0%
a 281
 
10.9%
t 144
 
5.6%
e 144
 
5.6%
i 143
 
5.6%
o 143
 
5.6%
N 140
 
5.4%
b 140
 
5.4%
v 140
 
5.4%
Other values (11) 156
 
6.1%
Common
ValueCountFrequency (%)
0 3557
24.1%
3 1207
 
8.2%
7 1205
 
8.2%
1 1152
 
7.8%
8 1104
 
7.5%
1006
 
6.8%
) 860
 
5.8%
( 860
 
5.8%
9 856
 
5.8%
2 848
 
5.7%
Other values (5) 2113
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17343
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3557
20.5%
3 1207
 
7.0%
7 1205
 
6.9%
1 1152
 
6.6%
8 1104
 
6.4%
1006
 
5.8%
E 861
 
5.0%
) 860
 
5.0%
( 860
 
5.0%
9 856
 
4.9%
Other values (26) 4675
27.0%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:24.399933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.857
Min length1

Characters and Unicode

Total characters12857
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
104569.1 1
 
0.1%
235555.3 1
 
0.1%
101208.2 1
 
0.1%
182039.9 1
 
0.1%
309764.5 1
 
0.1%
184158 1
 
0.1%
48868.7 1
 
0.1%
146111.3 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:59:24.993535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1169
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.8%
Uppercase Letter 1948
 
15.2%
Space Separator 974
 
7.6%
Decimal Number 172
 
1.3%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
18.6%
3 22
12.8%
5 21
12.2%
0 18
10.5%
4 17
9.9%
2 16
9.3%
7 14
8.1%
8 12
 
7.0%
6 11
 
6.4%
9 9
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.9%
Common 1169
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
974
83.3%
1 32
 
2.7%
. 23
 
2.0%
3 22
 
1.9%
5 21
 
1.8%
0 18
 
1.5%
4 17
 
1.5%
2 16
 
1.4%
7 14
 
1.2%
8 12
 
1.0%
Other values (2) 20
 
1.7%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (12) 1169
9.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:59:25.194626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.049
Min length1

Characters and Unicode

Total characters1049
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 995
99.2%
not 3
 
0.3%
available 3
 
0.3%
21929400 1
 
0.1%
3702250 1
 
0.1%
2023-12-09T20:59:25.609235image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 999
95.2%
a 6
 
0.6%
l 6
 
0.6%
2 4
 
0.4%
t 3
 
0.3%
3
 
0.3%
A 3
 
0.3%
v 3
 
0.3%
o 3
 
0.3%
i 3
 
0.3%
Other values (9) 16
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
96.3%
Lowercase Letter 30
 
2.9%
Uppercase Letter 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 999
98.9%
2 4
 
0.4%
9 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
t 3
10.0%
v 3
10.0%
o 3
10.0%
i 3
10.0%
b 3
10.0%
e 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1013
96.6%
Latin 36
 
3.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
t 3
8.3%
A 3
8.3%
v 3
8.3%
o 3
8.3%
i 3
8.3%
N 3
8.3%
b 3
8.3%
e 3
8.3%
Common
ValueCountFrequency (%)
0 999
98.6%
2 4
 
0.4%
3
 
0.3%
9 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 999
95.2%
a 6
 
0.6%
l 6
 
0.6%
2 4
 
0.4%
t 3
 
0.3%
3
 
0.3%
A 3
 
0.3%
v 3
 
0.3%
o 3
 
0.3%
i 3
 
0.3%
Other values (9) 16
 
1.5%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-09T20:59:25.859949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.218
Min length1

Characters and Unicode

Total characters1218
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 970
96.7%
available 3
 
0.3%
not 3
 
0.3%
190717.3 1
 
0.1%
104569.1 1
 
0.1%
21929400 1
 
0.1%
235555.3 1
 
0.1%
101208.2 1
 
0.1%
182039.9 1
 
0.1%
3702250 1
 
0.1%
Other values (20) 20
 
2.0%
2023-12-09T20:59:26.185689image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 991
81.4%
1 33
 
2.7%
3 23
 
1.9%
. 23
 
1.9%
5 22
 
1.8%
2 20
 
1.6%
4 18
 
1.5%
7 15
 
1.2%
8 12
 
1.0%
9 11
 
0.9%
Other values (12) 50
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1156
94.9%
Lowercase Letter 30
 
2.5%
Other Punctuation 23
 
1.9%
Uppercase Letter 6
 
0.5%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 991
85.7%
1 33
 
2.9%
3 23
 
2.0%
5 22
 
1.9%
2 20
 
1.7%
4 18
 
1.6%
7 15
 
1.3%
8 12
 
1.0%
9 11
 
1.0%
6 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
b 3
10.0%
i 3
10.0%
v 3
10.0%
t 3
10.0%
o 3
10.0%
e 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1182
97.0%
Latin 36
 
3.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 991
83.8%
1 33
 
2.8%
3 23
 
1.9%
. 23
 
1.9%
5 22
 
1.9%
2 20
 
1.7%
4 18
 
1.5%
7 15
 
1.3%
8 12
 
1.0%
9 11
 
0.9%
Other values (2) 14
 
1.2%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
b 3
8.3%
N 3
8.3%
i 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%
e 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 991
81.4%
1 33
 
2.7%
3 23
 
1.9%
. 23
 
1.9%
5 22
 
1.8%
2 20
 
1.6%
4 18
 
1.5%
7 15
 
1.2%
8 12
 
1.0%
9 11
 
0.9%
Other values (12) 50
 
4.1%
Distinct961
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:59:26.673236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.99
Min length2

Characters and Unicode

Total characters4990
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique926 ?
Unique (%)92.6%

Sample

1st row2747.2
2nd row2752.2
3rd row3038.1
4th row2913.5
5th row12186.2
ValueCountFrequency (%)
358.4 4
 
0.4%
611.3 3
 
0.3%
349.8 3
 
0.3%
140.8 2
 
0.2%
256.3 2
 
0.2%
810 2
 
0.2%
465.6 2
 
0.2%
367.5 2
 
0.2%
551.3 2
 
0.2%
609.3 2
 
0.2%
Other values (952) 978
97.6%
2023-12-09T20:59:27.290512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 883
17.7%
3 485
9.7%
4 482
9.7%
5 451
9.0%
1 444
8.9%
6 440
8.8%
2 435
8.7%
8 390
7.8%
7 387
7.8%
9 326
 
6.5%
Other values (12) 267
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4081
81.8%
Other Punctuation 883
 
17.7%
Lowercase Letter 20
 
0.4%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 485
11.9%
4 482
11.8%
5 451
11.1%
1 444
10.9%
6 440
10.8%
2 435
10.7%
8 390
9.6%
7 387
9.5%
9 326
8.0%
0 241
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 883
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4966
99.5%
Latin 24
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 883
17.8%
3 485
9.8%
4 482
9.7%
5 451
9.1%
1 444
8.9%
6 440
8.9%
2 435
8.8%
8 390
7.9%
7 387
7.8%
9 326
 
6.6%
Other values (2) 243
 
4.9%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 883
17.7%
3 485
9.7%
4 482
9.7%
5 451
9.0%
1 444
8.9%
6 440
8.8%
2 435
8.7%
8 390
7.8%
7 387
7.8%
9 326
 
6.5%
Other values (12) 267
 
5.4%
Distinct879
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:59:27.744800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.519
Min length1

Characters and Unicode

Total characters4519
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique820 ?
Unique (%)82.0%

Sample

1st row0
2nd row0
3rd row50.5
4th row113.8
5th row2015.3
ValueCountFrequency (%)
0 59
 
5.9%
218.6 4
 
0.4%
not 3
 
0.3%
available 3
 
0.3%
382.5 3
 
0.3%
405.2 3
 
0.3%
719.3 2
 
0.2%
290.9 2
 
0.2%
269.1 2
 
0.2%
337.3 2
 
0.2%
Other values (870) 920
91.7%
2023-12-09T20:59:28.326632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 847
18.7%
2 498
11.0%
3 475
10.5%
1 458
10.1%
4 409
9.1%
5 325
 
7.2%
8 318
 
7.0%
6 316
 
7.0%
7 296
 
6.6%
0 270
 
6.0%
Other values (12) 307
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3633
80.4%
Other Punctuation 847
 
18.7%
Lowercase Letter 30
 
0.7%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 498
13.7%
3 475
13.1%
1 458
12.6%
4 409
11.3%
5 325
8.9%
8 318
8.8%
6 316
8.7%
7 296
8.1%
0 270
7.4%
9 268
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
i 3
10.0%
b 3
10.0%
e 3
10.0%
t 3
10.0%
o 3
10.0%
v 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 847
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4483
99.2%
Latin 36
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 847
18.9%
2 498
11.1%
3 475
10.6%
1 458
10.2%
4 409
9.1%
5 325
 
7.2%
8 318
 
7.1%
6 316
 
7.0%
7 296
 
6.6%
0 270
 
6.0%
Other values (2) 271
 
6.0%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
A 3
8.3%
i 3
8.3%
b 3
8.3%
e 3
8.3%
t 3
8.3%
o 3
8.3%
N 3
8.3%
v 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 847
18.7%
2 498
11.0%
3 475
10.5%
1 458
10.1%
4 409
9.1%
5 325
 
7.2%
8 318
 
7.0%
6 316
 
7.0%
7 296
 
6.6%
0 270
 
6.0%
Other values (12) 307
 
6.8%
Distinct95
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2023-12-09T20:59:28.670434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.81
Min length1

Characters and Unicode

Total characters2810
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st row4
2nd row7.2
3rd row5.3
4th row7.4
5th row7.6
ValueCountFrequency (%)
4 42
 
4.2%
4.4 40
 
4.0%
4.5 38
 
3.8%
4.3 37
 
3.7%
4.1 35
 
3.5%
3.8 34
 
3.4%
3.9 34
 
3.4%
4.8 33
 
3.3%
4.6 31
 
3.1%
3.7 30
 
3.0%
Other values (86) 648
64.7%
2023-12-09T20:59:29.125507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 882
31.4%
4 431
15.3%
3 340
 
12.1%
5 295
 
10.5%
6 184
 
6.5%
2 163
 
5.8%
7 134
 
4.8%
8 131
 
4.7%
1 122
 
4.3%
9 97
 
3.5%
Other values (12) 31
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1902
67.7%
Other Punctuation 882
31.4%
Lowercase Letter 20
 
0.7%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 431
22.7%
3 340
17.9%
5 295
15.5%
6 184
9.7%
2 163
 
8.6%
7 134
 
7.0%
8 131
 
6.9%
1 122
 
6.4%
9 97
 
5.1%
0 5
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
v 2
10.0%
b 2
10.0%
i 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 882
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2786
99.1%
Latin 24
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 882
31.7%
4 431
15.5%
3 340
 
12.2%
5 295
 
10.6%
6 184
 
6.6%
2 163
 
5.9%
7 134
 
4.8%
8 131
 
4.7%
1 122
 
4.4%
9 97
 
3.5%
Other values (2) 7
 
0.3%
Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
v 2
8.3%
b 2
8.3%
i 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 882
31.4%
4 431
15.3%
3 340
 
12.1%
5 295
 
10.5%
6 184
 
6.5%
2 163
 
5.8%
7 134
 
4.8%
8 131
 
4.7%
1 122
 
4.3%
9 97
 
3.5%
Other values (12) 31
 
1.1%
Distinct77
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size58.4 KiB
2023-12-09T20:59:29.401052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.642
Min length1

Characters and Unicode

Total characters2642
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st row0
2nd row0
3rd row0.1
4th row0.3
5th row1.3
ValueCountFrequency (%)
0 97
 
9.7%
2.4 42
 
4.2%
3 41
 
4.1%
2.9 37
 
3.7%
2.6 35
 
3.5%
2.8 34
 
3.4%
2.3 33
 
3.3%
2.7 32
 
3.2%
3.2 32
 
3.2%
3.1 32
 
3.2%
Other values (68) 588
58.6%
2023-12-09T20:59:29.793186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 801
30.3%
2 398
15.1%
3 337
12.8%
1 253
 
9.6%
4 193
 
7.3%
0 144
 
5.5%
5 119
 
4.5%
6 96
 
3.6%
9 89
 
3.4%
7 87
 
3.3%
Other values (12) 125
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1802
68.2%
Other Punctuation 801
30.3%
Lowercase Letter 30
 
1.1%
Uppercase Letter 6
 
0.2%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 398
22.1%
3 337
18.7%
1 253
14.0%
4 193
10.7%
0 144
 
8.0%
5 119
 
6.6%
6 96
 
5.3%
9 89
 
4.9%
7 87
 
4.8%
8 86
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
v 3
10.0%
b 3
10.0%
i 3
10.0%
t 3
10.0%
o 3
10.0%
e 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 801
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2606
98.6%
Latin 36
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 801
30.7%
2 398
15.3%
3 337
12.9%
1 253
 
9.7%
4 193
 
7.4%
0 144
 
5.5%
5 119
 
4.6%
6 96
 
3.7%
9 89
 
3.4%
7 87
 
3.3%
Other values (2) 89
 
3.4%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
v 3
8.3%
b 3
8.3%
i 3
8.3%
N 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%
e 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 801
30.3%
2 398
15.1%
3 337
12.8%
1 253
 
9.6%
4 193
 
7.3%
0 144
 
5.5%
5 119
 
4.5%
6 96
 
3.6%
9 89
 
3.4%
7 87
 
3.3%
Other values (12) 125
 
4.7%
Distinct871
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:59:30.235255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.813
Min length1

Characters and Unicode

Total characters4813
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique760 ?
Unique (%)76.0%

Sample

1st row2747.2
2nd row2752.2
3rd row2987.6
4th row2799.8
5th row10170.9
ValueCountFrequency (%)
0 6
 
0.6%
97 3
 
0.3%
130.6 3
 
0.3%
79.5 3
 
0.3%
134.7 3
 
0.3%
93.5 3
 
0.3%
149.1 3
 
0.3%
163.4 3
 
0.3%
149.6 3
 
0.3%
172.7 3
 
0.3%
Other values (862) 970
96.7%
2023-12-09T20:59:30.820770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 905
18.8%
1 778
16.2%
2 518
10.8%
3 428
8.9%
8 340
 
7.1%
4 334
 
6.9%
6 332
 
6.9%
5 307
 
6.4%
9 307
 
6.4%
7 302
 
6.3%
Other values (13) 262
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3868
80.4%
Other Punctuation 905
 
18.8%
Lowercase Letter 30
 
0.6%
Uppercase Letter 6
 
0.1%
Space Separator 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 778
20.1%
2 518
13.4%
3 428
11.1%
8 340
8.8%
4 334
8.6%
6 332
8.6%
5 307
 
7.9%
9 307
 
7.9%
7 302
 
7.8%
0 222
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 6
20.0%
a 6
20.0%
i 3
10.0%
e 3
10.0%
b 3
10.0%
t 3
10.0%
v 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
N 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 905
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4777
99.3%
Latin 36
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
. 905
18.9%
1 778
16.3%
2 518
10.8%
3 428
9.0%
8 340
 
7.1%
4 334
 
7.0%
6 332
 
6.9%
5 307
 
6.4%
9 307
 
6.4%
7 302
 
6.3%
Other values (3) 226
 
4.7%
Latin
ValueCountFrequency (%)
l 6
16.7%
a 6
16.7%
i 3
8.3%
e 3
8.3%
b 3
8.3%
t 3
8.3%
v 3
8.3%
A 3
8.3%
o 3
8.3%
N 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 905
18.8%
1 778
16.2%
2 518
10.8%
3 428
8.9%
8 340
 
7.1%
4 334
 
6.9%
6 332
 
6.9%
5 307
 
6.4%
9 307
 
6.4%
7 302
 
6.3%
Other values (13) 262
 
5.4%
Distinct962
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:59:31.274301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.975
Min length1

Characters and Unicode

Total characters4975
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique928 ?
Unique (%)92.8%

Sample

1st row2747.2
2nd row2752.2
3rd row3038.1
4th row2913.5
5th row12186.2
ValueCountFrequency (%)
358.4 4
 
0.4%
349.8 3
 
0.3%
611.3 3
 
0.3%
337.9 2
 
0.2%
551.3 2
 
0.2%
477 2
 
0.2%
336.9 2
 
0.2%
370 2
 
0.2%
256.3 2
 
0.2%
505.3 2
 
0.2%
Other values (953) 977
97.6%
2023-12-09T20:59:31.857587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 882
17.7%
3 484
9.7%
4 483
9.7%
5 451
9.1%
1 444
8.9%
6 441
8.9%
2 435
8.7%
8 388
7.8%
7 387
7.8%
9 325
 
6.5%
Other values (12) 255
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4080
82.0%
Other Punctuation 882
 
17.7%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 484
11.9%
4 483
11.8%
5 451
11.1%
1 444
10.9%
6 441
10.8%
2 435
10.7%
8 388
9.5%
7 387
9.5%
9 325
8.0%
0 242
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 882
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4963
99.8%
Latin 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 882
17.8%
3 484
9.8%
4 483
9.7%
5 451
9.1%
1 444
8.9%
6 441
8.9%
2 435
8.8%
8 388
7.8%
7 387
7.8%
9 325
 
6.5%
Other values (2) 243
 
4.9%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 882
17.7%
3 484
9.7%
4 483
9.7%
5 451
9.1%
1 444
8.9%
6 441
8.9%
2 435
8.7%
8 388
7.8%
7 387
7.8%
9 325
 
6.5%
Other values (12) 255
 
5.1%
Distinct96
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size58.5 KiB
2023-12-09T20:59:32.192506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.804
Min length1

Characters and Unicode

Total characters2804
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row4
2nd row7.2
3rd row5.2
4th row7.1
5th row6.3
ValueCountFrequency (%)
1.2 98
 
9.8%
1.1 91
 
9.1%
1.3 89
 
8.9%
1 77
 
7.7%
1.4 75
 
7.5%
1.5 54
 
5.4%
0.9 40
 
4.0%
1.6 38
 
3.8%
1.7 29
 
2.9%
1.8 25
 
2.5%
Other values (87) 387
38.6%
2023-12-09T20:59:32.646283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 877
31.3%
1 745
26.6%
2 245
 
8.7%
3 191
 
6.8%
4 156
 
5.6%
5 112
 
4.0%
6 100
 
3.6%
9 90
 
3.2%
8 87
 
3.1%
0 83
 
3.0%
Other values (13) 118
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1887
67.3%
Other Punctuation 877
31.3%
Lowercase Letter 30
 
1.1%
Uppercase Letter 6
 
0.2%
Space Separator 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 745
39.5%
2 245
 
13.0%
3 191
 
10.1%
4 156
 
8.3%
5 112
 
5.9%
6 100
 
5.3%
9 90
 
4.8%
8 87
 
4.6%
0 83
 
4.4%
7 78
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 6
20.0%
l 6
20.0%
e 3
10.0%
b 3
10.0%
i 3
10.0%
v 3
10.0%
t 3
10.0%
o 3
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
50.0%
A 3
50.0%
Other Punctuation
ValueCountFrequency (%)
. 877
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2768
98.7%
Latin 36
 
1.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 877
31.7%
1 745
26.9%
2 245
 
8.9%
3 191
 
6.9%
4 156
 
5.6%
5 112
 
4.0%
6 100
 
3.6%
9 90
 
3.3%
8 87
 
3.1%
0 83
 
3.0%
Other values (3) 82
 
3.0%
Latin
ValueCountFrequency (%)
a 6
16.7%
l 6
16.7%
e 3
8.3%
b 3
8.3%
i 3
8.3%
N 3
8.3%
v 3
8.3%
A 3
8.3%
t 3
8.3%
o 3
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 877
31.3%
1 745
26.6%
2 245
 
8.7%
3 191
 
6.8%
4 156
 
5.6%
5 112
 
4.0%
6 100
 
3.6%
9 90
 
3.2%
8 87
 
3.1%
0 83
 
3.0%
Other values (13) 118
 
4.2%
Distinct964
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:59:33.094294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.098
Min length3

Characters and Unicode

Total characters5098
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique928 ?
Unique (%)92.8%

Sample

1st row4443.8
2nd row3555.9
3rd row4198.1
4th row3502.3
5th row11711.2
ValueCountFrequency (%)
452.8 2
 
0.2%
520.6 2
 
0.2%
493.8 2
 
0.2%
405.1 2
 
0.2%
500.8 2
 
0.2%
550.6 2
 
0.2%
397.2 2
 
0.2%
271.7 2
 
0.2%
621.9 2
 
0.2%
454.6 2
 
0.2%
Other values (955) 981
98.0%
2023-12-09T20:59:33.683156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 898
17.6%
1 552
10.8%
5 473
9.3%
4 444
8.7%
3 440
8.6%
6 440
8.6%
2 434
8.5%
8 404
7.9%
7 389
7.6%
9 354
 
6.9%
Other values (12) 270
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4187
82.1%
Other Punctuation 898
 
17.6%
Lowercase Letter 10
 
0.2%
Uppercase Letter 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 552
13.2%
5 473
11.3%
4 444
10.6%
3 440
10.5%
6 440
10.5%
2 434
10.4%
8 404
9.6%
7 389
9.3%
9 354
8.5%
0 257
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 2
20.0%
a 2
20.0%
v 1
10.0%
b 1
10.0%
i 1
10.0%
t 1
10.0%
o 1
10.0%
e 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 898
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5086
99.8%
Latin 12
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 898
17.7%
1 552
10.9%
5 473
9.3%
4 444
8.7%
3 440
8.7%
6 440
8.7%
2 434
8.5%
8 404
7.9%
7 389
7.6%
9 354
 
7.0%
Other values (2) 258
 
5.1%
Latin
ValueCountFrequency (%)
l 2
16.7%
a 2
16.7%
v 1
8.3%
b 1
8.3%
i 1
8.3%
N 1
8.3%
A 1
8.3%
t 1
8.3%
o 1
8.3%
e 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 898
17.6%
1 552
10.8%
5 473
9.3%
4 444
8.7%
3 440
8.6%
6 440
8.6%
2 434
8.5%
8 404
7.9%
7 389
7.6%
9 354
 
6.9%
Other values (12) 270
 
5.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:59:33.837878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.008
Min length4

Characters and Unicode

Total characters4008
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row84.7
2nd row84.7
3rd row84.7
4th row84.7
5th row84.7
ValueCountFrequency (%)
79.5 748
74.8%
84.7 244
 
24.4%
222.9 4
 
0.4%
107.7 2
 
0.2%
215.7 2
 
0.2%
2023-12-09T20:59:34.628417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1000
25.0%
7 998
24.9%
9 752
18.8%
5 750
18.7%
8 244
 
6.1%
4 244
 
6.1%
2 14
 
0.3%
1 4
 
0.1%
0 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3008
75.0%
Other Punctuation 1000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 998
33.2%
9 752
25.0%
5 750
24.9%
8 244
 
8.1%
4 244
 
8.1%
2 14
 
0.5%
1 4
 
0.1%
0 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1000
25.0%
7 998
24.9%
9 752
18.8%
5 750
18.7%
8 244
 
6.1%
4 244
 
6.1%
2 14
 
0.3%
1 4
 
0.1%
0 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1000
25.0%
7 998
24.9%
9 752
18.8%
5 750
18.7%
8 244
 
6.1%
4 244
 
6.1%
2 14
 
0.3%
1 4
 
0.1%
0 2
 
< 0.1%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:34.840495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.767
Min length1

Characters and Unicode

Total characters12767
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
50.7 2
 
0.1%
55.1 1
 
0.1%
87.9 1
 
0.1%
194.8 1
 
0.1%
17.8 1
 
0.1%
91.9 1
 
0.1%
114.2 1
 
0.1%
88.3 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T20:59:35.179509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1948
15.3%
a 1948
15.3%
o 974
7.6%
e 974
7.6%
b 974
7.6%
i 974
7.6%
N 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (12) 1079
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.3%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 82
 
0.6%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
18.3%
2 10
12.2%
7 10
12.2%
9 9
11.0%
8 8
9.8%
5 7
8.5%
4 7
8.5%
0 6
 
7.3%
3 5
 
6.1%
6 5
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 1948
20.0%
a 1948
20.0%
o 974
10.0%
e 974
10.0%
b 974
10.0%
i 974
10.0%
v 974
10.0%
t 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.5%
Common 1079
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
974
90.3%
. 23
 
2.1%
1 15
 
1.4%
2 10
 
0.9%
7 10
 
0.9%
9 9
 
0.8%
8 8
 
0.7%
5 7
 
0.6%
4 7
 
0.6%
0 6
 
0.6%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
l 1948
16.7%
a 1948
16.7%
o 974
8.3%
e 974
8.3%
b 974
8.3%
i 974
8.3%
N 974
8.3%
v 974
8.3%
A 974
8.3%
t 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1948
15.3%
a 1948
15.3%
o 974
7.6%
e 974
7.6%
b 974
7.6%
i 974
7.6%
N 974
7.6%
v 974
7.6%
A 974
7.6%
974
7.6%
Other values (12) 1079
8.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:59:35.303910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.029
Min length1

Characters and Unicode

Total characters1029
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 997
99.5%
not 2
 
0.2%
available 2
 
0.2%
1224.9 1
 
0.1%
2023-12-09T20:59:35.545201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 997
96.9%
a 4
 
0.4%
l 4
 
0.4%
2 2
 
0.2%
e 2
 
0.2%
b 2
 
0.2%
N 2
 
0.2%
i 2
 
0.2%
v 2
 
0.2%
A 2
 
0.2%
Other values (7) 10
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1002
97.4%
Lowercase Letter 20
 
1.9%
Uppercase Letter 4
 
0.4%
Space Separator 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
e 2
10.0%
b 2
10.0%
i 2
10.0%
v 2
10.0%
t 2
10.0%
o 2
10.0%
Decimal Number
ValueCountFrequency (%)
0 997
99.5%
2 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1005
97.7%
Latin 24
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 4
16.7%
l 4
16.7%
e 2
8.3%
b 2
8.3%
N 2
8.3%
i 2
8.3%
v 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
Common
ValueCountFrequency (%)
0 997
99.2%
2 2
 
0.2%
2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
. 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 997
96.9%
a 4
 
0.4%
l 4
 
0.4%
2 2
 
0.2%
e 2
 
0.2%
b 2
 
0.2%
N 2
 
0.2%
i 2
 
0.2%
v 2
 
0.2%
A 2
 
0.2%
Other values (7) 10
 
1.0%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size56.9 KiB
2023-12-09T20:59:35.730115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.108
Min length1

Characters and Unicode

Total characters1108
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 972
97.0%
available 2
 
0.2%
50.7 2
 
0.2%
not 2
 
0.2%
55.1 1
 
0.1%
87.9 1
 
0.1%
194.8 1
 
0.1%
17.8 1
 
0.1%
91.9 1
 
0.1%
114.2 1
 
0.1%
Other values (18) 18
 
1.8%
2023-12-09T20:59:36.043781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 977
88.2%
. 24
 
2.2%
1 16
 
1.4%
2 12
 
1.1%
7 10
 
0.9%
9 10
 
0.9%
4 8
 
0.7%
8 8
 
0.7%
5 7
 
0.6%
3 5
 
0.5%
Other values (12) 31
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1058
95.5%
Other Punctuation 24
 
2.2%
Lowercase Letter 20
 
1.8%
Uppercase Letter 4
 
0.4%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 977
92.3%
1 16
 
1.5%
2 12
 
1.1%
7 10
 
0.9%
9 10
 
0.9%
4 8
 
0.8%
8 8
 
0.8%
5 7
 
0.7%
3 5
 
0.5%
6 5
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
20.0%
l 4
20.0%
v 2
10.0%
i 2
10.0%
b 2
10.0%
t 2
10.0%
o 2
10.0%
e 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
A 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1084
97.8%
Latin 24
 
2.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 977
90.1%
. 24
 
2.2%
1 16
 
1.5%
2 12
 
1.1%
7 10
 
0.9%
9 10
 
0.9%
4 8
 
0.7%
8 8
 
0.7%
5 7
 
0.6%
3 5
 
0.5%
Other values (2) 7
 
0.6%
Latin
ValueCountFrequency (%)
a 4
16.7%
l 4
16.7%
v 2
8.3%
i 2
8.3%
b 2
8.3%
N 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
e 2
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 977
88.2%
. 24
 
2.2%
1 16
 
1.4%
2 12
 
1.1%
7 10
 
0.9%
9 10
 
0.9%
4 8
 
0.7%
8 8
 
0.7%
5 7
 
0.6%
3 5
 
0.5%
Other values (12) 31
 
2.8%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size57.0 KiB
2023-12-09T20:59:36.246659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.224
Min length1

Characters and Unicode

Total characters1224
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 969
96.5%
available 4
 
0.4%
not 4
 
0.4%
100 2
 
0.2%
11.60718 1
 
0.1%
8.369537 1
 
0.1%
8.014757 1
 
0.1%
28.92894 1
 
0.1%
12.86712 1
 
0.1%
12.39611 1
 
0.1%
Other values (19) 19
 
1.9%
2023-12-09T20:59:36.572419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 982
80.2%
1 33
 
2.7%
2 29
 
2.4%
. 25
 
2.0%
3 19
 
1.6%
8 18
 
1.5%
6 17
 
1.4%
5 16
 
1.3%
7 16
 
1.3%
4 10
 
0.8%
Other values (12) 59
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1147
93.7%
Lowercase Letter 40
 
3.3%
Other Punctuation 25
 
2.0%
Uppercase Letter 8
 
0.7%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 982
85.6%
1 33
 
2.9%
2 29
 
2.5%
3 19
 
1.7%
8 18
 
1.6%
6 17
 
1.5%
5 16
 
1.4%
7 16
 
1.4%
4 10
 
0.9%
9 7
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
a 8
20.0%
l 8
20.0%
b 4
10.0%
i 4
10.0%
v 4
10.0%
t 4
10.0%
o 4
10.0%
e 4
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 4
50.0%
A 4
50.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1176
96.1%
Latin 48
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 982
83.5%
1 33
 
2.8%
2 29
 
2.5%
. 25
 
2.1%
3 19
 
1.6%
8 18
 
1.5%
6 17
 
1.4%
5 16
 
1.4%
7 16
 
1.4%
4 10
 
0.9%
Other values (2) 11
 
0.9%
Latin
ValueCountFrequency (%)
a 8
16.7%
l 8
16.7%
N 4
8.3%
b 4
8.3%
i 4
8.3%
v 4
8.3%
A 4
8.3%
t 4
8.3%
o 4
8.3%
e 4
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 982
80.2%
1 33
 
2.7%
2 29
 
2.4%
. 25
 
2.0%
3 19
 
1.6%
8 18
 
1.5%
6 17
 
1.4%
5 16
 
1.3%
7 16
 
1.3%
4 10
 
0.8%
Other values (12) 59
 
4.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:36.755992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.738
Min length1

Characters and Unicode

Total characters12738
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
100 25
 
1.3%
0 1
 
0.1%
2023-12-09T20:59:37.047711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (3) 1050
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
76.5%
Uppercase Letter 1948
 
15.3%
Space Separator 974
 
7.6%
Decimal Number 76
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
o 974
10.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Decimal Number
ValueCountFrequency (%)
0 51
67.1%
1 25
32.9%
Space Separator
ValueCountFrequency (%)
974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.8%
Common 1050
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
o 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
Common
ValueCountFrequency (%)
974
92.8%
0 51
 
4.9%
1 25
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12738
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.3%
l 1948
15.3%
N 974
7.6%
o 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
Other values (3) 1050
8.2%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:37.287447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.867
Min length7

Characters and Unicode

Total characters12867
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
8.369537 1
 
0.1%
8.014757 1
 
0.1%
28.92894 1
 
0.1%
12.86712 1
 
0.1%
12.39611 1
 
0.1%
17.23321 1
 
0.1%
28.13759 1
 
0.1%
42.60707 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:59:37.660089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1179
9.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.7%
Uppercase Letter 1948
 
15.1%
Space Separator 974
 
7.6%
Decimal Number 179
 
1.4%
Other Punctuation 26
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31
17.3%
2 30
16.8%
3 19
10.6%
6 18
10.1%
7 18
10.1%
8 18
10.1%
5 16
8.9%
4 11
 
6.1%
0 11
 
6.1%
9 7
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
90.8%
Common 1179
 
9.2%

Most frequent character per script

Common
ValueCountFrequency (%)
974
82.6%
1 31
 
2.6%
2 30
 
2.5%
. 26
 
2.2%
3 19
 
1.6%
6 18
 
1.5%
7 18
 
1.5%
8 18
 
1.5%
5 16
 
1.4%
4 11
 
0.9%
Other values (2) 18
 
1.5%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.1%
l 1948
15.1%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1179
9.2%

costar_property_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:37.840581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:38.132341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:38.397468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.91
Min length10

Characters and Unicode

Total characters12910
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1000074571
4th rowNot Available
5th row1000098026
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
1000019934 1
 
0.1%
1000106818 1
 
0.1%
1000028413 1
 
0.1%
1000085280 1
 
0.1%
1000085267 1
 
0.1%
1000085246 1
 
0.1%
1000002490 1
 
0.1%
1000005367 1
 
0.1%
Other values (22) 22
 
1.1%
2023-12-09T20:59:38.795578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.0%
l 1940
15.0%
N 970
7.5%
o 970
7.5%
b 970
7.5%
i 970
7.5%
e 970
7.5%
v 970
7.5%
A 970
7.5%
970
7.5%
Other values (11) 1270
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
75.1%
Uppercase Letter 1940
 
15.0%
Space Separator 970
 
7.5%
Decimal Number 300
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
45.0%
1 52
 
17.3%
8 21
 
7.0%
5 16
 
5.3%
6 16
 
5.3%
4 15
 
5.0%
7 12
 
4.0%
2 12
 
4.0%
3 11
 
3.7%
9 10
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
90.2%
Common 1270
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
970
76.4%
0 135
 
10.6%
1 52
 
4.1%
8 21
 
1.7%
5 16
 
1.3%
6 16
 
1.3%
4 15
 
1.2%
7 12
 
0.9%
2 12
 
0.9%
3 11
 
0.9%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.0%
l 1940
15.0%
N 970
7.5%
o 970
7.5%
b 970
7.5%
i 970
7.5%
e 970
7.5%
v 970
7.5%
A 970
7.5%
970
7.5%
Other values (11) 1270
9.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:38.979626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length1

Characters and Unicode

Total characters12988
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
0 1
 
0.1%
2023-12-09T20:59:39.282306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.9%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:39.457772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:39.752593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:39.921603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:40.204745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:40.428096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.812
Min length4

Characters and Unicode

Total characters12812
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)2.2%

Sample

1st row5227
2nd row2115
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 978
49.4%
available 978
49.4%
4972 1
 
0.1%
3799 1
 
0.1%
2115 1
 
0.1%
7059 1
 
0.1%
13020 1
 
0.1%
6030 1
 
0.1%
5146 1
 
0.1%
12942 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:59:40.764726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1956
15.3%
l 1956
15.3%
N 978
7.6%
o 978
7.6%
b 978
7.6%
i 978
7.6%
e 978
7.6%
v 978
7.6%
A 978
7.6%
978
7.6%
Other values (11) 1076
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9780
76.3%
Uppercase Letter 1956
 
15.3%
Space Separator 978
 
7.6%
Decimal Number 98
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
18.4%
2 14
14.3%
4 13
13.3%
0 13
13.3%
9 11
11.2%
3 8
8.2%
6 8
8.2%
7 7
 
7.1%
5 5
 
5.1%
8 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
a 1956
20.0%
l 1956
20.0%
o 978
10.0%
b 978
10.0%
i 978
10.0%
e 978
10.0%
v 978
10.0%
t 978
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 978
50.0%
A 978
50.0%
Space Separator
ValueCountFrequency (%)
978
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11736
91.6%
Common 1076
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
978
90.9%
1 18
 
1.7%
2 14
 
1.3%
4 13
 
1.2%
0 13
 
1.2%
9 11
 
1.0%
3 8
 
0.7%
6 8
 
0.7%
7 7
 
0.7%
5 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1956
16.7%
l 1956
16.7%
N 978
8.3%
o 978
8.3%
b 978
8.3%
i 978
8.3%
e 978
8.3%
v 978
8.3%
A 978
8.3%
t 978
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1956
15.3%
l 1956
15.3%
N 978
7.6%
o 978
7.6%
b 978
7.6%
i 978
7.6%
e 978
7.6%
v 978
7.6%
A 978
7.6%
978
7.6%
Other values (11) 1076
8.4%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:40.946502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:41.229336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:41.407232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.971
Min length5

Characters and Unicode

Total characters12971
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
90489 1
 
0.1%
137591 1
 
0.1%
108124 1
 
0.1%
197505 1
 
0.1%
2023-12-09T20:59:41.718498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (10) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
21.7%
9 4
17.4%
0 3
13.0%
5 3
13.0%
4 2
 
8.7%
8 2
 
8.7%
7 2
 
8.7%
3 1
 
4.3%
2 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
b 996
10.0%
i 996
10.0%
e 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1019
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
b 996
8.3%
i 996
8.3%
e 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
97.7%
1 5
 
0.5%
9 4
 
0.4%
0 3
 
0.3%
5 3
 
0.3%
4 2
 
0.2%
8 2
 
0.2%
7 2
 
0.2%
3 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12971
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (10) 1019
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:41.889545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:42.171749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:42.341133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:42.622316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct34
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:42.856017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.69
Min length3

Characters and Unicode

Total characters12690
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)3.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
1000 3
 
0.2%
3807 2
 
0.1%
5604 1
 
0.1%
2900 1
 
0.1%
11750 1
 
0.1%
4922 1
 
0.1%
16957 1
 
0.1%
1800 1
 
0.1%
Other values (25) 25
 
1.3%
2023-12-09T20:59:43.262114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
t 964
7.6%
964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
b 964
7.6%
e 964
7.6%
Other values (12) 1122
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.0%
Uppercase Letter 1928
 
15.2%
Space Separator 964
 
7.6%
Decimal Number 157
 
1.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
20.4%
1 28
17.8%
5 17
10.8%
3 13
8.3%
6 13
8.3%
2 13
8.3%
4 12
 
7.6%
8 11
 
7.0%
7 9
 
5.7%
9 9
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
t 964
10.0%
v 964
10.0%
i 964
10.0%
b 964
10.0%
e 964
10.0%
o 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.2%
Common 1122
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
964
85.9%
0 32
 
2.9%
1 28
 
2.5%
5 17
 
1.5%
3 13
 
1.2%
6 13
 
1.2%
2 13
 
1.2%
4 12
 
1.1%
8 11
 
1.0%
7 9
 
0.8%
Other values (2) 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
e 964
8.3%
o 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
t 964
7.6%
964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
b 964
7.6%
e 964
7.6%
Other values (12) 1122
8.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:43.452180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.818
Min length1

Characters and Unicode

Total characters12818
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.4%
available 981
49.4%
n+1 12
 
0.6%
2n 2
 
0.1%
n 2
 
0.1%
n+2 2
 
0.1%
none 1
 
0.1%
of 1
 
0.1%
the 1
 
0.1%
above 1
 
0.1%
2023-12-09T20:59:43.775260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1962
15.3%
a 1962
15.3%
N 1000
7.8%
984
7.7%
o 984
7.7%
e 984
7.7%
A 982
7.7%
v 982
7.7%
t 982
7.7%
b 982
7.7%
Other values (7) 1014
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9822
76.6%
Uppercase Letter 1982
 
15.5%
Space Separator 984
 
7.7%
Decimal Number 16
 
0.1%
Math Symbol 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1962
20.0%
a 1962
20.0%
o 984
10.0%
e 984
10.0%
v 982
10.0%
t 982
10.0%
b 982
10.0%
i 981
10.0%
n 1
 
< 0.1%
f 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.5%
A 982
49.5%
Decimal Number
ValueCountFrequency (%)
1 12
75.0%
2 4
 
25.0%
Space Separator
ValueCountFrequency (%)
984
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11804
92.1%
Common 1014
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1962
16.6%
a 1962
16.6%
N 1000
8.5%
o 984
8.3%
e 984
8.3%
A 982
8.3%
v 982
8.3%
t 982
8.3%
b 982
8.3%
i 981
8.3%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
984
97.0%
+ 14
 
1.4%
1 12
 
1.2%
2 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12818
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1962
15.3%
a 1962
15.3%
N 1000
7.8%
984
7.7%
o 984
7.7%
e 984
7.7%
A 982
7.7%
v 982
7.7%
t 982
7.7%
b 982
7.7%
Other values (7) 1014
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:43.955908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length17
Median length13
Mean length12.82
Min length1

Characters and Unicode

Total characters12820
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 981
49.4%
available 981
49.4%
n+1 13
 
0.7%
2n 2
 
0.1%
n+2 2
 
0.1%
n 1
 
0.1%
none 1
 
0.1%
of 1
 
0.1%
the 1
 
0.1%
above 1
 
0.1%
2023-12-09T20:59:44.279887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1962
15.3%
a 1962
15.3%
N 1000
7.8%
984
7.7%
o 984
7.7%
e 984
7.7%
A 982
7.7%
v 982
7.7%
t 982
7.7%
b 982
7.7%
Other values (7) 1016
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9822
76.6%
Uppercase Letter 1982
 
15.5%
Space Separator 984
 
7.7%
Decimal Number 17
 
0.1%
Math Symbol 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1962
20.0%
a 1962
20.0%
o 984
10.0%
e 984
10.0%
v 982
10.0%
t 982
10.0%
b 982
10.0%
i 981
10.0%
n 1
 
< 0.1%
f 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.5%
A 982
49.5%
Decimal Number
ValueCountFrequency (%)
1 13
76.5%
2 4
 
23.5%
Space Separator
ValueCountFrequency (%)
984
100.0%
Math Symbol
ValueCountFrequency (%)
+ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11804
92.1%
Common 1016
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1962
16.6%
a 1962
16.6%
N 1000
8.5%
o 984
8.3%
e 984
8.3%
A 982
8.3%
v 982
8.3%
t 982
8.3%
b 982
8.3%
i 981
8.3%
Other values (3) 3
 
< 0.1%
Common
ValueCountFrequency (%)
984
96.9%
+ 15
 
1.5%
1 13
 
1.3%
2 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1962
15.3%
a 1962
15.3%
N 1000
7.8%
984
7.7%
o 984
7.7%
e 984
7.7%
A 982
7.7%
v 982
7.7%
t 982
7.7%
b 982
7.7%
Other values (7) 1016
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size70.3 KiB
2023-12-09T20:59:44.485661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length110
Median length13
Mean length14.816
Min length13

Characters and Unicode

Total characters14816
Distinct characters39
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
43.3%
available 964
43.3%
it 42
 
1.9%
no 22
 
1.0%
energy 22
 
1.0%
configuration 22
 
1.0%
selected 22
 
1.0%
ups 21
 
0.9%
power 20
 
0.9%
supply 20
 
0.9%
Other values (11) 106
 
4.8%
2023-12-09T20:59:44.812037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2013
13.6%
a 1952
13.2%
1225
8.3%
e 1193
8.1%
o 1092
7.4%
t 1089
7.4%
i 1070
7.2%
N 986
6.7%
b 984
6.6%
A 964
6.5%
Other values (29) 2248
15.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11254
76.0%
Uppercase Letter 2245
 
15.2%
Space Separator 1225
 
8.3%
Open Punctuation 40
 
0.3%
Close Punctuation 40
 
0.3%
Other Punctuation 9
 
0.1%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2013
17.9%
a 1952
17.3%
e 1193
10.6%
o 1092
9.7%
t 1089
9.7%
i 1070
9.5%
b 984
8.7%
v 964
8.6%
r 184
 
1.6%
n 151
 
1.3%
Other values (12) 562
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
43.9%
A 964
42.9%
S 63
 
2.8%
T 43
 
1.9%
I 43
 
1.9%
E 42
 
1.9%
U 41
 
1.8%
P 41
 
1.8%
C 22
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
% 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
1225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13499
91.1%
Common 1317
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2013
14.9%
a 1952
14.5%
e 1193
8.8%
o 1092
8.1%
t 1089
8.1%
i 1070
7.9%
N 986
7.3%
b 984
7.3%
A 964
7.1%
v 964
7.1%
Other values (21) 1192
8.8%
Common
ValueCountFrequency (%)
1225
93.0%
( 40
 
3.0%
) 40
 
3.0%
, 8
 
0.6%
- 1
 
0.1%
1 1
 
0.1%
0 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2013
13.6%
a 1952
13.2%
1225
8.3%
e 1193
8.1%
o 1092
7.4%
t 1089
7.4%
i 1070
7.2%
N 986
6.7%
b 984
6.6%
A 964
6.5%
Other values (29) 2248
15.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:44.991025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.742
Min length2

Characters and Unicode

Total characters12742
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
48.5%
available 964
48.5%
100 23
 
1.2%
yes 23
 
1.2%
no 13
 
0.7%
2023-12-09T20:59:45.285975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.1%
l 1928
15.1%
987
7.7%
e 987
7.7%
N 977
7.7%
o 977
7.7%
t 964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
Other values (6) 1102
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9699
76.1%
Uppercase Letter 1964
 
15.4%
Space Separator 987
 
7.7%
Decimal Number 69
 
0.5%
Other Punctuation 23
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1928
19.9%
l 1928
19.9%
e 987
10.2%
o 977
10.1%
t 964
9.9%
v 964
9.9%
i 964
9.9%
b 964
9.9%
s 23
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 977
49.7%
A 964
49.1%
Y 23
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 46
66.7%
1 23
33.3%
Space Separator
ValueCountFrequency (%)
987
100.0%
Other Punctuation
ValueCountFrequency (%)
% 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11663
91.5%
Common 1079
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1928
16.5%
l 1928
16.5%
e 987
8.5%
N 977
8.4%
o 977
8.4%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
Other values (2) 46
 
0.4%
Common
ValueCountFrequency (%)
987
91.5%
0 46
 
4.3%
1 23
 
2.1%
% 23
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12742
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.1%
l 1928
15.1%
987
7.7%
e 987
7.7%
N 977
7.7%
o 977
7.7%
t 964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
Other values (6) 1102
8.6%
Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:45.501400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.716
Min length1

Characters and Unicode

Total characters12716
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 15
 
0.8%
100298.3 1
 
0.1%
402101.5 1
 
0.1%
815388 1
 
0.1%
1162608.8 1
 
0.1%
1345863.6 1
 
0.1%
2299.6 1
 
0.1%
1361828.4 1
 
0.1%
Other values (14) 14
 
0.7%
2023-12-09T20:59:45.846031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
t 964
7.6%
964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
b 964
7.6%
e 964
7.6%
Other values (12) 1148
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
75.8%
Uppercase Letter 1928
 
15.2%
Space Separator 964
 
7.6%
Decimal Number 169
 
1.3%
Other Punctuation 15
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
15.4%
0 25
14.8%
3 20
11.8%
4 19
11.2%
8 15
8.9%
5 14
8.3%
6 14
8.3%
2 14
8.3%
9 12
7.1%
7 10
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
t 964
10.0%
v 964
10.0%
i 964
10.0%
b 964
10.0%
e 964
10.0%
o 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.0%
Common 1148
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
964
84.0%
1 26
 
2.3%
0 25
 
2.2%
3 20
 
1.7%
4 19
 
1.7%
. 15
 
1.3%
8 15
 
1.3%
5 14
 
1.2%
6 14
 
1.2%
2 14
 
1.2%
Other values (2) 22
 
1.9%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
e 964
8.3%
o 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
t 964
7.6%
964
7.6%
A 964
7.6%
v 964
7.6%
i 964
7.6%
b 964
7.6%
e 964
7.6%
Other values (12) 1148
9.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:59:46.024596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.568
Min length1

Characters and Unicode

Total characters12568
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 36
 
1.8%
2023-12-09T20:59:46.313712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
t 964
7.7%
964
7.7%
A 964
7.7%
v 964
7.7%
i 964
7.7%
b 964
7.7%
Other values (2) 1000
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.7%
Uppercase Letter 1928
 
15.3%
Space Separator 964
 
7.7%
Decimal Number 36
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
t 964
10.0%
v 964
10.0%
i 964
10.0%
b 964
10.0%
e 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%
Decimal Number
ValueCountFrequency (%)
0 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
92.0%
Common 1000
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
e 964
8.3%
Common
ValueCountFrequency (%)
964
96.4%
0 36
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
t 964
7.7%
964
7.7%
A 964
7.7%
v 964
7.7%
i 964
7.7%
b 964
7.7%
Other values (2) 1000
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:59:46.482691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.568
Min length1

Characters and Unicode

Total characters12568
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 36
 
1.8%
2023-12-09T20:59:46.768512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
t 964
7.7%
964
7.7%
A 964
7.7%
v 964
7.7%
i 964
7.7%
b 964
7.7%
Other values (2) 1000
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.7%
Uppercase Letter 1928
 
15.3%
Space Separator 964
 
7.7%
Decimal Number 36
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
t 964
10.0%
v 964
10.0%
i 964
10.0%
b 964
10.0%
e 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%
Decimal Number
ValueCountFrequency (%)
0 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
92.0%
Common 1000
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
e 964
8.3%
Common
ValueCountFrequency (%)
964
96.4%
0 36
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
t 964
7.7%
964
7.7%
A 964
7.7%
v 964
7.7%
i 964
7.7%
b 964
7.7%
Other values (2) 1000
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:59:46.938936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.568
Min length1

Characters and Unicode

Total characters12568
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 36
 
1.8%
2023-12-09T20:59:47.223643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
t 964
7.7%
964
7.7%
A 964
7.7%
v 964
7.7%
i 964
7.7%
b 964
7.7%
Other values (2) 1000
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.7%
Uppercase Letter 1928
 
15.3%
Space Separator 964
 
7.7%
Decimal Number 36
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
t 964
10.0%
v 964
10.0%
i 964
10.0%
b 964
10.0%
e 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%
Decimal Number
ValueCountFrequency (%)
0 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
92.0%
Common 1000
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
t 964
8.3%
A 964
8.3%
v 964
8.3%
i 964
8.3%
b 964
8.3%
e 964
8.3%
Common
ValueCountFrequency (%)
964
96.4%
0 36
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12568
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
t 964
7.7%
964
7.7%
A 964
7.7%
v 964
7.7%
i 964
7.7%
b 964
7.7%
Other values (2) 1000
8.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:47.434504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.932
Min length6

Characters and Unicode

Total characters12932
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
720196 1
 
0.1%
100298.3 1
 
0.1%
402101.5 1
 
0.1%
815388 1
 
0.1%
1162608.8 1
 
0.1%
1345863.6 1
 
0.1%
1361828.4 1
 
0.1%
815212 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:59:47.775984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1972
15.2%
a 1972
15.2%
o 986
7.6%
e 986
7.6%
b 986
7.6%
i 986
7.6%
N 986
7.6%
v 986
7.6%
A 986
7.6%
986
7.6%
Other values (12) 1100
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.2%
Uppercase Letter 1972
 
15.2%
Space Separator 986
 
7.6%
Decimal Number 104
 
0.8%
Other Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
19.2%
3 14
13.5%
8 11
10.6%
4 11
10.6%
6 9
8.7%
7 8
 
7.7%
0 8
 
7.7%
2 8
 
7.7%
5 8
 
7.7%
9 7
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 1972
20.0%
a 1972
20.0%
o 986
10.0%
e 986
10.0%
b 986
10.0%
i 986
10.0%
v 986
10.0%
t 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.5%
Common 1100
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
986
89.6%
1 20
 
1.8%
3 14
 
1.3%
8 11
 
1.0%
4 11
 
1.0%
. 10
 
0.9%
6 9
 
0.8%
7 8
 
0.7%
0 8
 
0.7%
2 8
 
0.7%
Other values (2) 15
 
1.4%
Latin
ValueCountFrequency (%)
l 1972
16.7%
a 1972
16.7%
o 986
8.3%
e 986
8.3%
b 986
8.3%
i 986
8.3%
N 986
8.3%
v 986
8.3%
A 986
8.3%
t 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1972
15.2%
a 1972
15.2%
o 986
7.6%
e 986
7.6%
b 986
7.6%
i 986
7.6%
N 986
7.6%
v 986
7.6%
A 986
7.6%
986
7.6%
Other values (12) 1100
8.5%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:47.995160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.953
Min length8

Characters and Unicode

Total characters12953
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
958209.4 1
 
0.1%
10799131.8 1
 
0.1%
11107099.6 1
 
0.1%
28129784.8 1
 
0.1%
3841517.2 1
 
0.1%
7789890.9 1
 
0.1%
10839012.4 1
 
0.1%
12857842.2 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:59:48.337330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.2%
l 1972
15.2%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1121
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9860
76.1%
Uppercase Letter 1972
 
15.2%
Space Separator 986
 
7.6%
Decimal Number 121
 
0.9%
Other Punctuation 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 18
14.9%
1 16
13.2%
7 13
10.7%
9 13
10.7%
0 13
10.7%
4 12
9.9%
2 10
8.3%
3 10
8.3%
6 9
7.4%
5 7
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
o 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 986
50.0%
A 986
50.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11832
91.3%
Common 1121
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
986
88.0%
8 18
 
1.6%
1 16
 
1.4%
. 14
 
1.2%
7 13
 
1.2%
9 13
 
1.2%
0 13
 
1.2%
4 12
 
1.1%
2 10
 
0.9%
3 10
 
0.9%
Other values (2) 16
 
1.4%
Latin
ValueCountFrequency (%)
a 1972
16.7%
l 1972
16.7%
N 986
8.3%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
o 986
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12953
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.2%
l 1972
15.2%
N 986
7.6%
t 986
7.6%
986
7.6%
A 986
7.6%
v 986
7.6%
i 986
7.6%
b 986
7.6%
e 986
7.6%
Other values (12) 1121
8.7%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:48.512610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:48.798459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:48.964391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:49.247014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:49.413002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:49.692102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:49.860707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:50.142292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:50.310377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:59:50.588145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:59:50.810417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.78
Min length1

Characters and Unicode

Total characters12780
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd row577534
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
10561 2
 
0.1%
536391 1
 
0.1%
20000 1
 
0.1%
1081558 1
 
0.1%
80304 1
 
0.1%
46103 1
 
0.1%
5897 1
 
0.1%
129660 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T20:59:51.808615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.2%
l 1944
15.2%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1116
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.1%
Uppercase Letter 1944
 
15.2%
Space Separator 972
 
7.6%
Decimal Number 143
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
17.5%
1 19
13.3%
9 18
12.6%
5 15
10.5%
4 14
9.8%
6 13
9.1%
8 11
7.7%
7 11
7.7%
3 10
 
7.0%
2 7
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
o 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.3%
Common 1116
 
8.7%

Most frequent character per script

Common
ValueCountFrequency (%)
972
87.1%
0 25
 
2.2%
1 19
 
1.7%
9 18
 
1.6%
5 15
 
1.3%
4 14
 
1.3%
6 13
 
1.2%
8 11
 
1.0%
7 11
 
1.0%
3 10
 
0.9%
Other values (2) 8
 
0.7%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
o 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.2%
l 1944
15.2%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1116
8.7%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:52.026067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.72
Min length1

Characters and Unicode

Total characters12720
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1280
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
10 2
 
0.1%
18 2
 
0.1%
135 1
 
0.1%
1800 1
 
0.1%
1280 1
 
0.1%
1092 1
 
0.1%
1400 1
 
0.1%
891 1
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:59:52.364940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
o 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
Other values (12) 1056
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.4%
Uppercase Letter 1944
 
15.3%
Space Separator 972
 
7.6%
Decimal Number 83
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
20.5%
0 14
16.9%
3 9
10.8%
8 8
9.6%
5 8
9.6%
4 6
 
7.2%
7 6
 
7.2%
2 6
 
7.2%
6 5
 
6.0%
9 4
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
o 972
10.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.7%
Common 1056
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
972
92.0%
1 17
 
1.6%
0 14
 
1.3%
3 9
 
0.9%
8 8
 
0.8%
5 8
 
0.8%
4 6
 
0.6%
7 6
 
0.6%
2 6
 
0.6%
6 5
 
0.5%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
o 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
o 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
Other values (12) 1056
8.3%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:52.566883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.702
Min length1

Characters and Unicode

Total characters12702
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd row90
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
55 6
 
0.3%
50 2
 
0.1%
65 2
 
0.1%
40 2
 
0.1%
60 2
 
0.1%
70 2
 
0.1%
56.52 1
 
0.1%
45 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T20:59:52.882828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.7%
o 972
7.7%
b 972
7.7%
i 972
7.7%
e 972
7.7%
v 972
7.7%
A 972
7.7%
972
7.7%
Other values (11) 1038
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.5%
Uppercase Letter 1944
 
15.3%
Space Separator 972
 
7.7%
Decimal Number 62
 
0.5%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
32.3%
0 12
19.4%
6 9
14.5%
4 6
 
9.7%
9 6
 
9.7%
7 3
 
4.8%
1 2
 
3.2%
8 2
 
3.2%
2 2
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
o 972
10.0%
b 972
10.0%
i 972
10.0%
e 972
10.0%
v 972
10.0%
t 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.8%
Common 1038
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
972
93.6%
5 20
 
1.9%
0 12
 
1.2%
6 9
 
0.9%
4 6
 
0.6%
9 6
 
0.6%
. 4
 
0.4%
7 3
 
0.3%
1 2
 
0.2%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
o 972
8.3%
b 972
8.3%
i 972
8.3%
e 972
8.3%
v 972
8.3%
A 972
8.3%
t 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12702
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.7%
o 972
7.7%
b 972
7.7%
i 972
7.7%
e 972
7.7%
v 972
7.7%
A 972
7.7%
972
7.7%
Other values (11) 1038
8.2%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:59:53.093504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.713
Min length1

Characters and Unicode

Total characters12713
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1280
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
15 3
 
0.2%
10 2
 
0.1%
1536 1
 
0.1%
45 1
 
0.1%
7 1
 
0.1%
4960.4 1
 
0.1%
277 1
 
0.1%
300 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T20:59:53.427672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1049
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.5%
Uppercase Letter 1944
 
15.3%
Space Separator 972
 
7.6%
Decimal Number 76
 
0.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
15.8%
1 12
15.8%
2 10
13.2%
6 8
10.5%
5 7
9.2%
7 7
9.2%
8 6
7.9%
3 6
7.9%
4 6
7.9%
9 2
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
t 972
10.0%
v 972
10.0%
i 972
10.0%
b 972
10.0%
e 972
10.0%
o 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.7%
Common 1049
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
972
92.7%
0 12
 
1.1%
1 12
 
1.1%
2 10
 
1.0%
6 8
 
0.8%
5 7
 
0.7%
7 7
 
0.7%
8 6
 
0.6%
3 6
 
0.6%
4 6
 
0.6%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
t 972
8.3%
A 972
8.3%
v 972
8.3%
i 972
8.3%
b 972
8.3%
e 972
8.3%
o 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12713
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.3%
l 1944
15.3%
N 972
7.6%
t 972
7.6%
972
7.6%
A 972
7.6%
v 972
7.6%
i 972
7.6%
b 972
7.6%
e 972
7.6%
Other values (12) 1049
8.3%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:53.604637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length4

Characters and Unicode

Total characters12967
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
17500 2
 
0.1%
1672 1
 
0.1%
34000 1
 
0.1%
2023-12-09T20:59:53.887060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1015
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 19
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 7
36.8%
1 3
15.8%
7 3
15.8%
5 2
 
10.5%
6 1
 
5.3%
2 1
 
5.3%
3 1
 
5.3%
4 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1015
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.1%
0 7
 
0.7%
1 3
 
0.3%
7 3
 
0.3%
5 2
 
0.2%
6 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1015
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:54.060111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length1

Characters and Unicode

Total characters12979
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1300 1
 
0.1%
0 1
 
0.1%
2023-12-09T20:59:54.349570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
1 1
 
20.0%
3 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.5%
0 3
 
0.3%
1 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1003
7.7%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:54.531596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.932
Min length4

Characters and Unicode

Total characters12932
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
1440 1
 
0.1%
11750 1
 
0.1%
8828 1
 
0.1%
2349 1
 
0.1%
14081 1
 
0.1%
57413 1
 
0.1%
10000 1
 
0.1%
1510 1
 
0.1%
2023-12-09T20:59:54.827848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1028
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 36
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
25.0%
0 8
22.2%
4 5
13.9%
8 4
11.1%
5 3
 
8.3%
7 2
 
5.6%
2 2
 
5.6%
3 2
 
5.6%
9 1
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1028
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%
Common
ValueCountFrequency (%)
992
96.5%
1 9
 
0.9%
0 8
 
0.8%
4 5
 
0.5%
8 4
 
0.4%
5 3
 
0.3%
7 2
 
0.2%
2 2
 
0.2%
3 2
 
0.2%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (10) 1028
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:55.006260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.957
Min length3

Characters and Unicode

Total characters12957
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1375 1
 
0.1%
2620 1
 
0.1%
12687 1
 
0.1%
800 1
 
0.1%
7599.4 1
 
0.1%
2023-12-09T20:59:55.301851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
14.3%
7 3
14.3%
2 3
14.3%
9 2
9.5%
8 2
9.5%
1 2
9.5%
6 2
9.5%
5 2
9.5%
3 1
 
4.8%
4 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1017
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.8%
0 3
 
0.3%
7 3
 
0.3%
2 3
 
0.3%
9 2
 
0.2%
8 2
 
0.2%
1 2
 
0.2%
6 2
 
0.2%
5 2
 
0.2%
3 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1017
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:55.482396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length6

Characters and Unicode

Total characters12967
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2405480 1
 
0.1%
308789 1
 
0.1%
589161 1
 
0.1%
338424 1
 
0.1%
3813938 1
 
0.1%
2023-12-09T20:59:55.787531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 32
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 7
21.9%
3 6
18.8%
4 4
12.5%
0 3
9.4%
9 3
9.4%
1 3
9.4%
2 2
 
6.2%
5 2
 
6.2%
7 1
 
3.1%
6 1
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.9%
8 7
 
0.7%
3 6
 
0.6%
4 4
 
0.4%
0 3
 
0.3%
9 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
5 2
 
0.2%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1027
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:55.961310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length8

Characters and Unicode

Total characters12975
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.8%
available 995
49.8%
100 5
 
0.2%
yes 5
 
0.2%
2023-12-09T20:59:56.248774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
1000
7.7%
e 1000
7.7%
N 995
7.7%
o 995
7.7%
t 995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
Other values (6) 1025
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1995
 
15.4%
Space Separator 1000
 
7.7%
Decimal Number 15
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
e 1000
10.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
s 5
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
49.9%
A 995
49.9%
Y 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Other Punctuation
ValueCountFrequency (%)
% 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11955
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.6%
l 1990
16.6%
e 1000
8.4%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
Other values (2) 10
 
0.1%
Common
ValueCountFrequency (%)
1000
98.0%
0 10
 
1.0%
1 5
 
0.5%
% 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
1000
7.7%
e 1000
7.7%
N 995
7.7%
o 995
7.7%
t 995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
Other values (6) 1025
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:56.426469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.959
Min length3

Characters and Unicode

Total characters12959
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
455 1
 
0.1%
2050.6 1
 
0.1%
3868.12 1
 
0.1%
225 1
 
0.1%
206.9 1
 
0.1%
2023-12-09T20:59:56.724524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 21
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5
23.8%
5 4
19.0%
0 3
14.3%
6 3
14.3%
8 2
 
9.5%
4 1
 
4.8%
3 1
 
4.8%
1 1
 
4.8%
9 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1019
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.6%
2 5
 
0.5%
5 4
 
0.4%
0 3
 
0.3%
. 3
 
0.3%
6 3
 
0.3%
8 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1019
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:56.899968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.941
Min length1

Characters and Unicode

Total characters12941
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1 2
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
12 1
 
0.1%
2023-12-09T20:59:57.191245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.9%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 2
33.3%
5 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
99.4%
1 3
 
0.3%
2 2
 
0.2%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1001
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:57.379001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length7

Characters and Unicode

Total characters12970
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.00339 1
 
0.1%
0.00295 1
 
0.1%
0.00324 1
 
0.1%
0.00315 1
 
0.1%
0.00208 1
 
0.1%
2023-12-09T20:59:57.680625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1030
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 30
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 16
53.3%
3 4
 
13.3%
2 3
 
10.0%
9 2
 
6.7%
5 2
 
6.7%
4 1
 
3.3%
1 1
 
3.3%
8 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1030
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
96.6%
0 16
 
1.6%
. 5
 
0.5%
3 4
 
0.4%
2 3
 
0.3%
9 2
 
0.2%
5 2
 
0.2%
4 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1030
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:57.859210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.951
Min length3

Characters and Unicode

Total characters12951
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1786 1
 
0.1%
206 1
 
0.1%
439 1
 
0.1%
843 1
 
0.1%
102 1
 
0.1%
2023-12-09T20:59:58.149323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
12.5%
8 2
12.5%
6 2
12.5%
2 2
12.5%
0 2
12.5%
4 2
12.5%
3 2
12.5%
7 1
6.2%
9 1
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1011
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
98.4%
1 2
 
0.2%
8 2
 
0.2%
6 2
 
0.2%
2 2
 
0.2%
0 2
 
0.2%
4 2
 
0.2%
3 2
 
0.2%
7 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12951
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1011
7.8%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:58.329190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length6

Characters and Unicode

Total characters12969
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
0.35045 1
 
0.1%
0.74513 1
 
0.1%
0.46828 1
 
0.1%
0.66712 1
 
0.1%
0.3014 1
 
0.1%
2023-12-09T20:59:58.634609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1029
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 29
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
24.1%
4 4
13.8%
3 3
10.3%
5 3
10.3%
1 3
10.3%
6 3
10.3%
7 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1029
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.7%
0 7
 
0.7%
. 5
 
0.5%
4 4
 
0.4%
3 3
 
0.3%
5 3
 
0.3%
1 3
 
0.3%
6 3
 
0.3%
7 2
 
0.2%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1029
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:59:58.813252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1572 1
 
0.1%
7399.87 1
 
0.1%
395.8 1
 
0.1%
3922.9 1
 
0.1%
900 1
 
0.1%
2023-12-09T20:59:59.110306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 22
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Decimal Number
ValueCountFrequency (%)
9 6
27.3%
7 3
13.6%
2 3
13.6%
3 3
13.6%
5 2
 
9.1%
8 2
 
9.1%
0 2
 
9.1%
1 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1020
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
97.5%
9 6
 
0.6%
7 3
 
0.3%
2 3
 
0.3%
3 3
 
0.3%
. 3
 
0.3%
5 2
 
0.2%
8 2
 
0.2%
0 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1020
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:59.292489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length6

Characters and Unicode

Total characters12969
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1.94022 1
 
0.1%
2.6682 1
 
0.1%
1.63082 1
 
0.1%
2.65939 1
 
0.1%
1.28178 1
 
0.1%
2023-12-09T20:59:59.600861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1029
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 29
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
24.1%
8 4
13.8%
6 4
13.8%
1 4
13.8%
9 3
10.3%
0 2
 
6.9%
3 2
 
6.9%
4 1
 
3.4%
5 1
 
3.4%
7 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1029
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.7%
2 7
 
0.7%
. 5
 
0.5%
8 4
 
0.4%
6 4
 
0.4%
1 4
 
0.4%
9 3
 
0.3%
0 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1029
7.9%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:59:59.780447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length5

Characters and Unicode

Total characters12967
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
3.1592 1
 
0.1%
2.59077 1
 
0.1%
4.06295 1
 
0.1%
3.32648 1
 
0.1%
4.447 1
 
0.1%
2023-12-09T21:00:00.091980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 27
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5
18.5%
2 4
14.8%
7 3
11.1%
3 3
11.1%
9 3
11.1%
5 3
11.1%
0 2
 
7.4%
6 2
 
7.4%
1 1
 
3.7%
8 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
96.9%
. 5
 
0.5%
4 5
 
0.5%
2 4
 
0.4%
7 3
 
0.3%
3 3
 
0.3%
9 3
 
0.3%
5 3
 
0.3%
0 2
 
0.2%
6 2
 
0.2%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1027
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:00.264620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.949
Min length2

Characters and Unicode

Total characters12949
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 4
 
0.2%
90 1
 
0.1%
2023-12-09T21:00:00.550639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Decimal Number
ValueCountFrequency (%)
0 9
64.3%
1 4
28.6%
9 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.6%
0 9
 
0.9%
1 4
 
0.4%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (4) 1009
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:00.720431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.95
Min length3

Characters and Unicode

Total characters12950
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
100 5
 
0.3%
2023-12-09T21:00:01.002707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Decimal Number
ValueCountFrequency (%)
0 10
66.7%
1 5
33.3%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
Common
ValueCountFrequency (%)
995
98.5%
0 10
 
1.0%
1 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
Other values (3) 1010
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:01.180611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.97
Min length5

Characters and Unicode

Total characters12970
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
109276 1
 
0.1%
37684 1
 
0.1%
20517 1
 
0.1%
105208 1
 
0.1%
2023-12-09T21:00:01.489160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (11) 1018
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
18.2%
1 3
13.6%
2 3
13.6%
7 3
13.6%
6 2
9.1%
8 2
9.1%
5 2
9.1%
9 1
 
4.5%
3 1
 
4.5%
4 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
b 996
10.0%
i 996
10.0%
e 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1018
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
996
97.8%
0 4
 
0.4%
1 3
 
0.3%
2 3
 
0.3%
7 3
 
0.3%
6 2
 
0.2%
8 2
 
0.2%
5 2
 
0.2%
9 1
 
0.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
b 996
8.3%
i 996
8.3%
e 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (11) 1018
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:01.663880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length2

Characters and Unicode

Total characters12960
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
40 2
 
0.1%
210.4 1
 
0.1%
350 1
 
0.1%
2023-12-09T21:00:01.952504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (8) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 11
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
4 3
27.3%
2 1
 
9.1%
1 1
 
9.1%
3 1
 
9.1%
5 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
0 4
 
0.4%
4 3
 
0.3%
2 1
 
0.1%
1 1
 
0.1%
. 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (8) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:02.121093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.989
Min length2

Characters and Unicode

Total characters12989
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
30 1
 
0.1%
2023-12-09T21:00:02.403840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.8%
3 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:02.576799image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.958
Min length2

Characters and Unicode

Total characters12958
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
66 1
 
0.1%
350 1
 
0.1%
144 1
 
0.1%
35 1
 
0.1%
2023-12-09T21:00:02.868167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1006
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1992
20.0%
a 1992
20.0%
e 996
10.0%
b 996
10.0%
o 996
10.0%
i 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
6 2
20.0%
3 2
20.0%
5 2
20.0%
4 2
20.0%
0 1
10.0%
1 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1006
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1992
16.7%
a 1992
16.7%
e 996
8.3%
b 996
8.3%
o 996
8.3%
i 996
8.3%
N 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
99.0%
6 2
 
0.2%
3 2
 
0.2%
5 2
 
0.2%
4 2
 
0.2%
0 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1006
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:03.049927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
100 4
 
0.2%
2023-12-09T21:00:03.339565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Decimal Number
ValueCountFrequency (%)
0 8
66.7%
1 4
33.3%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
0 8
 
0.8%
1 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:03.507389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
100 4
 
0.2%
2023-12-09T21:00:03.785793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Decimal Number
ValueCountFrequency (%)
0 8
66.7%
1 4
33.3%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
0 8
 
0.8%
1 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:03.956970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.959
Min length2

Characters and Unicode

Total characters12959
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
76 1
 
0.1%
60 1
 
0.1%
55 1
 
0.1%
28.51 1
 
0.1%
2023-12-09T21:00:04.251483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 10
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
5 3
30.0%
6 2
20.0%
7 1
 
10.0%
0 1
 
10.0%
2 1
 
10.0%
8 1
 
10.0%
1 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.9%
5 3
 
0.3%
6 2
 
0.2%
7 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%
8 1
 
0.1%
. 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1007
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:04.418987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:04.696426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:04.863759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
157539 1
 
0.1%
2023-12-09T21:00:05.159541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
1 1
16.7%
7 1
16.7%
3 1
16.7%
9 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
5 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1005
7.7%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:05.341887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.959
Min length6

Characters and Unicode

Total characters12959
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
130250 1
 
0.1%
296302 1
 
0.1%
893750 1
 
0.1%
1194030 1
 
0.1%
208520 1
 
0.1%
323504 1
 
0.1%
2023-12-09T21:00:05.649090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
o 994
7.7%
b 994
7.7%
i 994
7.7%
e 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (11) 1031
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.7%
Uppercase Letter 1988
 
15.3%
Space Separator 994
 
7.7%
Decimal Number 37
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
24.3%
3 6
16.2%
2 6
16.2%
5 4
10.8%
1 3
 
8.1%
9 3
 
8.1%
8 2
 
5.4%
4 2
 
5.4%
6 1
 
2.7%
7 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
o 994
10.0%
b 994
10.0%
i 994
10.0%
e 994
10.0%
v 994
10.0%
t 994
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.0%
Common 1031
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
994
96.4%
0 9
 
0.9%
3 6
 
0.6%
2 6
 
0.6%
5 4
 
0.4%
1 3
 
0.3%
9 3
 
0.3%
8 2
 
0.2%
4 2
 
0.2%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
o 994
8.3%
b 994
8.3%
i 994
8.3%
e 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
o 994
7.7%
b 994
7.7%
i 994
7.7%
e 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (11) 1031
8.0%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:05.827395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
3425 1
 
0.1%
1925 1
 
0.1%
9825 1
 
0.1%
4670 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:00:06.121311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
17.6%
5 3
17.6%
4 2
11.8%
9 2
11.8%
0 2
11.8%
3 1
 
5.9%
1 1
 
5.9%
8 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1012
 
7.8%

Most frequent character per script

Common
ValueCountFrequency (%)
995
98.3%
2 3
 
0.3%
5 3
 
0.3%
4 2
 
0.2%
9 2
 
0.2%
0 2
 
0.2%
3 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (11) 1012
7.8%
Distinct580
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Memory size62.3 KiB
2023-12-09T21:00:06.539140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.667
Min length4

Characters and Unicode

Total characters6667
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique428 ?
Unique (%)42.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 141
 
12.4%
available 141
 
12.4%
106800 9
 
0.8%
110400 8
 
0.7%
96000 8
 
0.7%
109200 7
 
0.6%
122400 7
 
0.6%
91200 6
 
0.5%
93600 6
 
0.5%
112800 6
 
0.5%
Other values (571) 802
70.3%
2023-12-09T21:00:07.089929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1394
20.9%
1 716
10.7%
2 443
 
6.6%
8 430
 
6.4%
5 399
 
6.0%
6 382
 
5.7%
4 312
 
4.7%
a 282
 
4.2%
l 282
 
4.2%
7 270
 
4.0%
Other values (12) 1757
26.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4830
72.4%
Lowercase Letter 1410
 
21.1%
Uppercase Letter 282
 
4.2%
Space Separator 141
 
2.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1394
28.9%
1 716
14.8%
2 443
 
9.2%
8 430
 
8.9%
5 399
 
8.3%
6 382
 
7.9%
4 312
 
6.5%
7 270
 
5.6%
9 258
 
5.3%
3 226
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 282
20.0%
l 282
20.0%
o 141
10.0%
e 141
10.0%
b 141
10.0%
i 141
10.0%
v 141
10.0%
t 141
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 141
50.0%
A 141
50.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4975
74.6%
Latin 1692
 
25.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1394
28.0%
1 716
14.4%
2 443
 
8.9%
8 430
 
8.6%
5 399
 
8.0%
6 382
 
7.7%
4 312
 
6.3%
7 270
 
5.4%
9 258
 
5.2%
3 226
 
4.5%
Other values (2) 145
 
2.9%
Latin
ValueCountFrequency (%)
a 282
16.7%
l 282
16.7%
N 141
8.3%
o 141
8.3%
e 141
8.3%
b 141
8.3%
i 141
8.3%
v 141
8.3%
A 141
8.3%
t 141
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1394
20.9%
1 716
10.7%
2 443
 
6.6%
8 430
 
6.4%
5 399
 
6.0%
6 382
 
5.7%
4 312
 
4.7%
a 282
 
4.2%
l 282
 
4.2%
7 270
 
4.0%
Other values (12) 1757
26.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:07.278408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.983
Min length4

Characters and Unicode

Total characters12983
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
15120 1
 
0.1%
4702 1
 
0.1%
2023-12-09T21:00:07.560677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
0 2
22.2%
5 1
11.1%
4 1
11.1%
7 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.1%
1 2
 
0.2%
2 2
 
0.2%
0 2
 
0.2%
5 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1007
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:07.731541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
685314 1
 
0.1%
287202 1
 
0.1%
2023-12-09T21:00:08.025883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
25.0%
8 2
16.7%
6 1
 
8.3%
5 1
 
8.3%
3 1
 
8.3%
1 1
 
8.3%
4 1
 
8.3%
7 1
 
8.3%
0 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
2 3
 
0.3%
8 2
 
0.2%
6 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1010
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:08.199560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:08.495624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:08.693224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:09.011745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:09.182166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:09.460711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:09.628428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.967
Min length2

Characters and Unicode

Total characters12967
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
no 3
 
0.2%
2023-12-09T21:00:09.909598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 1000
7.7%
o 1000
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9973
76.9%
Uppercase Letter 1997
 
15.4%
Space Separator 997
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 1000
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 997
49.9%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11970
92.3%
Common 997
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 1000
8.4%
o 1000
8.4%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Common
ValueCountFrequency (%)
997
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 1000
7.7%
o 1000
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:10.085594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.972
Min length6

Characters and Unicode

Total characters12972
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
247991 1
 
0.1%
814289 1
 
0.1%
375698 1
 
0.1%
368540 1
 
0.1%
2023-12-09T21:00:10.391071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (11) 1020
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 24
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 4
16.7%
8 4
16.7%
4 3
12.5%
2 2
8.3%
7 2
8.3%
1 2
8.3%
3 2
8.3%
5 2
8.3%
6 2
8.3%
0 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
b 996
10.0%
i 996
10.0%
e 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1020
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
996
97.6%
9 4
 
0.4%
8 4
 
0.4%
4 3
 
0.3%
2 2
 
0.2%
7 2
 
0.2%
1 2
 
0.2%
3 2
 
0.2%
5 2
 
0.2%
6 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
b 996
8.3%
i 996
8.3%
e 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (11) 1020
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:10.568225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.961
Min length3

Characters and Unicode

Total characters12961
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
1700 1
 
0.1%
264 1
 
0.1%
744 1
 
0.1%
600 1
 
0.1%
2023-12-09T21:00:10.853808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 13
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1992
20.0%
a 1992
20.0%
e 996
10.0%
b 996
10.0%
o 996
10.0%
i 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
30.8%
4 3
23.1%
7 2
15.4%
6 2
15.4%
1 1
 
7.7%
2 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1992
16.7%
a 1992
16.7%
e 996
8.3%
b 996
8.3%
o 996
8.3%
i 996
8.3%
N 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.7%
0 4
 
0.4%
4 3
 
0.3%
7 2
 
0.2%
6 2
 
0.2%
1 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1009
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:11.029614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.976
Min length7

Characters and Unicode

Total characters12976
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
2.01878 1
 
0.1%
1.06456 1
 
0.1%
1.59703 1
 
0.1%
2.08771 1
 
0.1%
2023-12-09T21:00:12.157182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
o 996
7.7%
e 996
7.7%
b 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (12) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 24
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
16.7%
1 4
16.7%
7 4
16.7%
8 3
12.5%
5 2
8.3%
2 2
8.3%
6 2
8.3%
4 1
 
4.2%
9 1
 
4.2%
3 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
l 1992
20.0%
a 1992
20.0%
o 996
10.0%
e 996
10.0%
b 996
10.0%
i 996
10.0%
v 996
10.0%
t 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1024
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
996
97.3%
. 4
 
0.4%
0 4
 
0.4%
1 4
 
0.4%
7 4
 
0.4%
8 3
 
0.3%
5 2
 
0.2%
2 2
 
0.2%
6 2
 
0.2%
4 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
l 1992
16.7%
a 1992
16.7%
o 996
8.3%
e 996
8.3%
b 996
8.3%
i 996
8.3%
N 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
o 996
7.7%
e 996
7.7%
b 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (12) 1024
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:12.334049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.957
Min length1

Characters and Unicode

Total characters12957
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
248 1
 
0.1%
105 1
 
0.1%
20 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:00:12.629605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1005
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1992
20.0%
a 1992
20.0%
e 996
10.0%
b 996
10.0%
o 996
10.0%
i 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
33.3%
2 2
22.2%
4 1
 
11.1%
8 1
 
11.1%
1 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1005
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1992
16.7%
a 1992
16.7%
e 996
8.3%
b 996
8.3%
o 996
8.3%
i 996
8.3%
N 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
99.1%
0 3
 
0.3%
2 2
 
0.2%
4 1
 
0.1%
8 1
 
0.1%
1 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1005
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:12.807018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.955
Min length1

Characters and Unicode

Total characters12955
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
10 1
 
0.1%
78 1
 
0.1%
36 1
 
0.1%
0 1
 
0.1%
2023-12-09T21:00:13.100131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1992
20.0%
a 1992
20.0%
e 996
10.0%
b 996
10.0%
o 996
10.0%
i 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
28.6%
1 1
14.3%
7 1
14.3%
8 1
14.3%
3 1
14.3%
6 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1992
16.7%
a 1992
16.7%
e 996
8.3%
b 996
8.3%
o 996
8.3%
i 996
8.3%
N 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
99.3%
0 2
 
0.2%
1 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1992
15.4%
a 1992
15.4%
e 996
7.7%
b 996
7.7%
o 996
7.7%
i 996
7.7%
N 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (7) 1003
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:13.280916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
248 1
 
0.1%
921 1
 
0.1%
105 1
 
0.1%
340 1
 
0.1%
2023-12-09T21:00:13.570105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
16.7%
4 2
16.7%
1 2
16.7%
0 2
16.7%
8 1
8.3%
9 1
8.3%
5 1
8.3%
3 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
2 2
 
0.2%
4 2
 
0.2%
1 2
 
0.2%
0 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1008
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:13.744558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
248 1
 
0.1%
921 1
 
0.1%
105 1
 
0.1%
340 1
 
0.1%
2023-12-09T21:00:14.035015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
16.7%
4 2
16.7%
1 2
16.7%
0 2
16.7%
8 1
8.3%
9 1
8.3%
5 1
8.3%
3 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
2 2
 
0.2%
4 2
 
0.2%
1 2
 
0.2%
0 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1008
7.8%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:14.213411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length6

Characters and Unicode

Total characters12975
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0.67293 1
 
0.1%
0.4234 1
 
0.1%
0.90498 1
 
0.1%
1.13105 1
 
0.1%
2023-12-09T21:00:14.522976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (12) 1023
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 23
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
21.7%
9 3
13.0%
3 3
13.0%
4 3
13.0%
1 3
13.0%
2 2
 
8.7%
6 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
5 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1023
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
996
97.4%
0 5
 
0.5%
. 4
 
0.4%
9 3
 
0.3%
3 3
 
0.3%
4 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (12) 1023
7.9%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:14.705701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length6

Characters and Unicode

Total characters12975
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0.67293 1
 
0.1%
0.4234 1
 
0.1%
0.90498 1
 
0.1%
1.13105 1
 
0.1%
2023-12-09T21:00:15.010497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (12) 1023
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 23
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
21.7%
9 3
13.0%
3 3
13.0%
4 3
13.0%
1 3
13.0%
2 2
 
8.7%
6 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
5 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1023
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
996
97.4%
0 5
 
0.5%
. 4
 
0.4%
9 3
 
0.3%
3 3
 
0.3%
4 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (12) 1023
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:15.181935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0 4
 
0.2%
2023-12-09T21:00:15.463975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.6%
0 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:15.632815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0 4
 
0.2%
2023-12-09T21:00:15.916576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.6%
0 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:16.087309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.959
Min length2

Characters and Unicode

Total characters12959
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
100 3
 
0.2%
90 1
 
0.1%
2023-12-09T21:00:16.381003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (4) 1007
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Decimal Number
ValueCountFrequency (%)
0 7
63.6%
1 3
27.3%
9 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1007
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.9%
0 7
 
0.7%
1 3
 
0.3%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12959
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (4) 1007
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:16.552835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.96
Min length3

Characters and Unicode

Total characters12960
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
100 4
 
0.2%
2023-12-09T21:00:16.832655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Decimal Number
ValueCountFrequency (%)
0 8
66.7%
1 4
33.3%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
98.8%
0 8
 
0.8%
1 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (3) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:17.010693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length13
Mean length13.036
Min length13

Characters and Unicode

Total characters13036
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.8%
available 998
49.8%
no 2
 
0.1%
specific 2
 
0.1%
resident 2
 
0.1%
population 2
 
0.1%
2023-12-09T21:00:17.333784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.3%
a 1998
15.3%
i 1006
7.7%
1004
7.7%
e 1004
7.7%
o 1004
7.7%
t 1002
7.7%
N 1000
7.7%
b 998
7.7%
v 998
7.7%
Other values (9) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10034
77.0%
Uppercase Letter 1998
 
15.3%
Space Separator 1004
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
19.9%
a 1998
19.9%
i 1006
10.0%
e 1004
10.0%
o 1004
10.0%
t 1002
10.0%
b 998
9.9%
v 998
9.9%
p 6
 
0.1%
s 4
 
< 0.1%
Other values (6) 16
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
1004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12032
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.6%
a 1998
16.6%
i 1006
8.4%
e 1004
8.3%
o 1004
8.3%
t 1002
8.3%
N 1000
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
Other values (8) 26
 
0.2%
Common
ValueCountFrequency (%)
1004
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.3%
a 1998
15.3%
i 1006
7.7%
1004
7.7%
e 1004
7.7%
o 1004
7.7%
t 1002
7.7%
N 1000
7.7%
b 998
7.7%
v 998
7.7%
Other values (9) 1024
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:17.514052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
591640 1
 
0.1%
2023-12-09T21:00:17.820485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1998
20.0%
a 1998
20.0%
e 999
10.0%
b 999
10.0%
o 999
10.0%
i 999
10.0%
v 999
10.0%
t 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
16.7%
9 1
16.7%
1 1
16.7%
6 1
16.7%
4 1
16.7%
0 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1998
16.7%
a 1998
16.7%
e 999
8.3%
b 999
8.3%
o 999
8.3%
i 999
8.3%
N 999
8.3%
v 999
8.3%
A 999
8.3%
t 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
5 1
 
0.1%
9 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1998
15.4%
a 1998
15.4%
e 999
7.7%
b 999
7.7%
o 999
7.7%
i 999
7.7%
N 999
7.7%
v 999
7.7%
A 999
7.7%
999
7.7%
Other values (7) 1005
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:17.996575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5000 1
 
0.1%
2023-12-09T21:00:18.298295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
5 1
 
25.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 3
 
0.3%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%
Distinct102
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T21:00:18.673893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.305
Min length5

Characters and Unicode

Total characters12305
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)9.8%

Sample

1st row679759
2nd row366528
3rd rowNot Available
4th row394646
5th row1539113
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
97821 2
 
0.1%
92532 2
 
0.1%
1414803 2
 
0.1%
762933 1
 
0.1%
131670 1
 
0.1%
556309 1
 
0.1%
182007 1
 
0.1%
679759 1
 
0.1%
Other values (93) 93
 
4.9%
2023-12-09T21:00:19.187529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.6%
l 1792
14.6%
N 896
7.3%
o 896
7.3%
e 896
7.3%
i 896
7.3%
b 896
7.3%
v 896
7.3%
A 896
7.3%
896
7.3%
Other values (12) 1553
12.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
72.8%
Uppercase Letter 1792
 
14.6%
Space Separator 896
 
7.3%
Decimal Number 653
 
5.3%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 90
13.8%
2 81
12.4%
7 76
11.6%
3 71
10.9%
4 63
9.6%
8 60
9.2%
0 56
8.6%
6 53
8.1%
9 52
8.0%
5 51
7.8%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
o 896
10.0%
e 896
10.0%
i 896
10.0%
b 896
10.0%
v 896
10.0%
t 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
87.4%
Common 1553
 
12.6%

Most frequent character per script

Common
ValueCountFrequency (%)
896
57.7%
1 90
 
5.8%
2 81
 
5.2%
7 76
 
4.9%
3 71
 
4.6%
4 63
 
4.1%
8 60
 
3.9%
0 56
 
3.6%
6 53
 
3.4%
9 52
 
3.3%
Other values (2) 55
 
3.5%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
o 896
8.3%
e 896
8.3%
i 896
8.3%
b 896
8.3%
v 896
8.3%
A 896
8.3%
t 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12305
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.6%
l 1792
14.6%
N 896
7.3%
o 896
7.3%
e 896
7.3%
i 896
7.3%
b 896
7.3%
v 896
7.3%
A 896
7.3%
896
7.3%
Other values (12) 1553
12.6%
Distinct102
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:00:19.564249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.109
Min length2

Characters and Unicode

Total characters12109
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)9.8%

Sample

1st row2320
2nd row1670
3rd rowNot Available
4th row1810
5th row4008
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
4343.86 2
 
0.1%
298 2
 
0.1%
200 2
 
0.1%
7490 1
 
0.1%
2342 1
 
0.1%
3550 1
 
0.1%
1231 1
 
0.1%
2750 1
 
0.1%
Other values (93) 93
 
4.9%
2023-12-09T21:00:20.070458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1357
11.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.0%
Uppercase Letter 1792
 
14.8%
Space Separator 896
 
7.4%
Decimal Number 437
 
3.6%
Other Punctuation 24
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
15.1%
1 55
12.6%
2 50
11.4%
6 41
9.4%
4 41
9.4%
8 41
9.4%
3 40
9.2%
9 38
8.7%
7 33
7.6%
5 32
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
88.8%
Common 1357
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
896
66.0%
0 66
 
4.9%
1 55
 
4.1%
2 50
 
3.7%
6 41
 
3.0%
4 41
 
3.0%
8 41
 
3.0%
3 40
 
2.9%
9 38
 
2.8%
7 33
 
2.4%
Other values (2) 56
 
4.1%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12109
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1357
11.2%
Distinct100
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:00:20.447014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.107
Min length2

Characters and Unicode

Total characters12107
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)9.4%

Sample

1st row1266
2nd row1518
3rd rowNot Available
4th row1239
5th row4727
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
3620.8 2
 
0.1%
200 2
 
0.1%
703 2
 
0.1%
3000 2
 
0.1%
797.59 2
 
0.1%
1613.56 1
 
0.1%
5595 1
 
0.1%
1465 1
 
0.1%
Other values (91) 91
 
4.8%
2023-12-09T21:00:20.963614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1355
11.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.0%
Uppercase Letter 1792
 
14.8%
Space Separator 896
 
7.4%
Decimal Number 432
 
3.6%
Other Punctuation 27
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
14.8%
1 57
13.2%
2 53
12.3%
6 49
11.3%
5 44
10.2%
3 37
8.6%
7 35
8.1%
8 35
8.1%
9 31
7.2%
4 27
6.2%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
88.8%
Common 1355
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
896
66.1%
0 64
 
4.7%
1 57
 
4.2%
2 53
 
3.9%
6 49
 
3.6%
5 44
 
3.2%
3 37
 
2.7%
7 35
 
2.6%
8 35
 
2.6%
9 31
 
2.3%
Other values (2) 54
 
4.0%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1355
11.2%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:00:21.162589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.97
Min length3

Characters and Unicode

Total characters11970
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row100
2nd row100
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
100 99
 
5.2%
92.33 2
 
0.1%
93.43 1
 
0.1%
70.89 1
 
0.1%
99.84 1
 
0.1%
2023-12-09T21:00:21.476854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
o 896
7.5%
b 896
7.5%
i 896
7.5%
e 896
7.5%
v 896
7.5%
A 896
7.5%
896
7.5%
Other values (10) 1218
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.9%
Uppercase Letter 1792
 
15.0%
Space Separator 896
 
7.5%
Decimal Number 317
 
2.6%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
o 896
10.0%
b 896
10.0%
i 896
10.0%
e 896
10.0%
v 896
10.0%
t 896
10.0%
Decimal Number
ValueCountFrequency (%)
0 199
62.8%
1 99
31.2%
9 6
 
1.9%
3 6
 
1.9%
2 2
 
0.6%
4 2
 
0.6%
8 2
 
0.6%
7 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.8%
Common 1218
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
o 896
8.3%
b 896
8.3%
i 896
8.3%
e 896
8.3%
v 896
8.3%
A 896
8.3%
t 896
8.3%
Common
ValueCountFrequency (%)
896
73.6%
0 199
 
16.3%
1 99
 
8.1%
9 6
 
0.5%
3 6
 
0.5%
. 5
 
0.4%
2 2
 
0.2%
4 2
 
0.2%
8 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11970
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
o 896
7.5%
b 896
7.5%
i 896
7.5%
e 896
7.5%
v 896
7.5%
A 896
7.5%
896
7.5%
Other values (10) 1218
10.2%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T21:00:21.669759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.974
Min length3

Characters and Unicode

Total characters11974
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row100
2nd row100
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
100 97
 
5.1%
92.33 2
 
0.1%
93.43 1
 
0.1%
73.99 1
 
0.1%
99.13 1
 
0.1%
99.57 1
 
0.1%
77.49 1
 
0.1%
2023-12-09T21:00:21.981580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
o 896
7.5%
b 896
7.5%
i 896
7.5%
e 896
7.5%
v 896
7.5%
A 896
7.5%
896
7.5%
Other values (10) 1222
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
74.8%
Uppercase Letter 1792
 
15.0%
Space Separator 896
 
7.5%
Decimal Number 319
 
2.7%
Other Punctuation 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
o 896
10.0%
b 896
10.0%
i 896
10.0%
e 896
10.0%
v 896
10.0%
t 896
10.0%
Decimal Number
ValueCountFrequency (%)
0 194
60.8%
1 98
30.7%
9 10
 
3.1%
3 8
 
2.5%
7 4
 
1.3%
2 2
 
0.6%
4 2
 
0.6%
5 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
89.8%
Common 1222
 
10.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
o 896
8.3%
b 896
8.3%
i 896
8.3%
e 896
8.3%
v 896
8.3%
A 896
8.3%
t 896
8.3%
Common
ValueCountFrequency (%)
896
73.3%
0 194
 
15.9%
1 98
 
8.0%
9 10
 
0.8%
3 8
 
0.7%
. 7
 
0.6%
7 4
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
15.0%
l 1792
15.0%
N 896
7.5%
o 896
7.5%
b 896
7.5%
i 896
7.5%
e 896
7.5%
v 896
7.5%
A 896
7.5%
896
7.5%
Other values (10) 1222
10.2%
Distinct94
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T21:00:22.341678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.118
Min length2

Characters and Unicode

Total characters12118
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)9.0%

Sample

1st row50.94
2nd row65
3rd rowNot Available
4th row71.44
5th row78.4
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
65 10
 
0.5%
56.96 2
 
0.1%
55.4 2
 
0.1%
56.36 1
 
0.1%
60.05 1
 
0.1%
3.74 1
 
0.1%
71.44 1
 
0.1%
66.14 1
 
0.1%
Other values (85) 85
 
4.5%
2023-12-09T21:00:22.836759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1366
11.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
73.9%
Uppercase Letter 1792
 
14.8%
Space Separator 896
 
7.4%
Decimal Number 382
 
3.2%
Other Punctuation 88
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 81
21.2%
5 63
16.5%
4 47
12.3%
7 39
10.2%
3 33
8.6%
1 30
 
7.9%
8 29
 
7.6%
9 22
 
5.8%
0 19
 
5.0%
2 19
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
88.7%
Common 1366
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
896
65.6%
. 88
 
6.4%
6 81
 
5.9%
5 63
 
4.6%
4 47
 
3.4%
7 39
 
2.9%
3 33
 
2.4%
1 30
 
2.2%
8 29
 
2.1%
9 22
 
1.6%
Other values (2) 38
 
2.8%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.8%
l 1792
14.8%
N 896
7.4%
t 896
7.4%
896
7.4%
A 896
7.4%
v 896
7.4%
i 896
7.4%
b 896
7.4%
e 896
7.4%
Other values (12) 1366
11.3%
Distinct102
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:00:23.233607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.365
Min length5

Characters and Unicode

Total characters12365
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)9.8%

Sample

1st row1.86242
2nd row4.14157
3rd rowNot Available
4th row3.13952
5th row3.07125
ValueCountFrequency (%)
not 896
47.3%
available 896
47.3%
2.55922 2
 
0.1%
8.15356 2
 
0.1%
2.16141 2
 
0.1%
2.05209 1
 
0.1%
3.36658 1
 
0.1%
1.92107 1
 
0.1%
3.07125 1
 
0.1%
3.46772 1
 
0.1%
Other values (93) 93
 
4.9%
2023-12-09T21:00:23.763000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1792
14.5%
l 1792
14.5%
N 896
7.2%
t 896
7.2%
896
7.2%
A 896
7.2%
v 896
7.2%
i 896
7.2%
b 896
7.2%
e 896
7.2%
Other values (12) 1613
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8960
72.5%
Uppercase Letter 1792
 
14.5%
Space Separator 896
 
7.2%
Decimal Number 613
 
5.0%
Other Punctuation 104
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 97
15.8%
1 77
12.6%
3 76
12.4%
4 60
9.8%
5 58
9.5%
9 57
9.3%
8 55
9.0%
6 48
7.8%
0 48
7.8%
7 37
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 1792
20.0%
l 1792
20.0%
t 896
10.0%
v 896
10.0%
i 896
10.0%
b 896
10.0%
e 896
10.0%
o 896
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 896
50.0%
A 896
50.0%
Space Separator
ValueCountFrequency (%)
896
100.0%
Other Punctuation
ValueCountFrequency (%)
. 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10752
87.0%
Common 1613
 
13.0%

Most frequent character per script

Common
ValueCountFrequency (%)
896
55.5%
. 104
 
6.4%
2 97
 
6.0%
1 77
 
4.8%
3 76
 
4.7%
4 60
 
3.7%
5 58
 
3.6%
9 57
 
3.5%
8 55
 
3.4%
6 48
 
3.0%
Other values (2) 85
 
5.3%
Latin
ValueCountFrequency (%)
a 1792
16.7%
l 1792
16.7%
N 896
8.3%
t 896
8.3%
A 896
8.3%
v 896
8.3%
i 896
8.3%
b 896
8.3%
e 896
8.3%
o 896
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1792
14.5%
l 1792
14.5%
N 896
7.2%
t 896
7.2%
896
7.2%
A 896
7.2%
v 896
7.2%
i 896
7.2%
b 896
7.2%
e 896
7.2%
Other values (12) 1613
13.0%
Distinct17
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:00:23.978412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.838
Min length1

Characters and Unicode

Total characters12838
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
0 2
 
0.1%
3173 2
 
0.1%
5097 1
 
0.1%
4000 1
 
0.1%
18021 1
 
0.1%
169924 1
 
0.1%
2070 1
 
0.1%
190 1
 
0.1%
Other values (8) 8
 
0.4%
2023-12-09T21:00:24.310739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
o 982
7.6%
b 982
7.6%
i 982
7.6%
e 982
7.6%
v 982
7.6%
A 982
7.6%
982
7.6%
Other values (11) 1054
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.5%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.6%
Decimal Number 72
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
25.0%
3 10
13.9%
1 10
13.9%
9 8
11.1%
7 6
 
8.3%
2 6
 
8.3%
8 4
 
5.6%
5 4
 
5.6%
6 4
 
5.6%
4 2
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
o 982
10.0%
b 982
10.0%
i 982
10.0%
e 982
10.0%
v 982
10.0%
t 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
91.8%
Common 1054
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
982
93.2%
0 18
 
1.7%
3 10
 
0.9%
1 10
 
0.9%
9 8
 
0.8%
7 6
 
0.6%
2 6
 
0.6%
8 4
 
0.4%
5 4
 
0.4%
6 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
o 982
8.3%
b 982
8.3%
i 982
8.3%
e 982
8.3%
v 982
8.3%
A 982
8.3%
t 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
o 982
7.6%
b 982
7.6%
i 982
7.6%
e 982
7.6%
v 982
7.6%
A 982
7.6%
982
7.6%
Other values (11) 1054
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:24.489461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length5

Characters and Unicode

Total characters12985
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
60612 1
 
0.1%
108013 1
 
0.1%
2023-12-09T21:00:24.796735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
27.3%
1 3
27.3%
6 2
18.2%
2 1
 
9.1%
8 1
 
9.1%
3 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.9%
0 3
 
0.3%
1 3
 
0.3%
6 2
 
0.2%
2 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1009
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:24.970940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
174570 1
 
0.1%
145192 1
 
0.1%
2023-12-09T21:00:25.279075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
7 2
16.7%
4 2
16.7%
5 2
16.7%
0 1
 
8.3%
9 1
 
8.3%
2 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
1 3
 
0.3%
7 2
 
0.2%
4 2
 
0.2%
5 2
 
0.2%
0 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1010
7.8%
Distinct33
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:00:25.510326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.693
Min length1

Characters and Unicode

Total characters12693
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)3.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 5
 
0.3%
22467 1
 
0.1%
50000 1
 
0.1%
11368 1
 
0.1%
35297 1
 
0.1%
38567 1
 
0.1%
20204 1
 
0.1%
10078 1
 
0.1%
Other values (24) 24
 
1.2%
2023-12-09T21:00:25.874120image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
o 964
7.6%
b 964
7.6%
i 964
7.6%
e 964
7.6%
v 964
7.6%
A 964
7.6%
964
7.6%
Other values (11) 1125
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
75.9%
Uppercase Letter 1928
 
15.2%
Space Separator 964
 
7.6%
Decimal Number 161
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
16.8%
8 20
12.4%
4 19
11.8%
7 17
10.6%
2 17
10.6%
1 15
9.3%
5 13
8.1%
3 11
6.8%
9 11
6.8%
6 11
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
b 964
10.0%
i 964
10.0%
e 964
10.0%
v 964
10.0%
t 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.1%
Common 1125
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
964
85.7%
0 27
 
2.4%
8 20
 
1.8%
4 19
 
1.7%
7 17
 
1.5%
2 17
 
1.5%
1 15
 
1.3%
5 13
 
1.2%
3 11
 
1.0%
9 11
 
1.0%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
b 964
8.3%
i 964
8.3%
e 964
8.3%
v 964
8.3%
A 964
8.3%
t 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
o 964
7.6%
b 964
7.6%
i 964
7.6%
e 964
7.6%
v 964
7.6%
A 964
7.6%
964
7.6%
Other values (11) 1125
8.9%
Distinct32
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:00:26.121311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.689
Min length1

Characters and Unicode

Total characters12689
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 6
 
0.3%
22467 1
 
0.1%
50000 1
 
0.1%
11368 1
 
0.1%
35297 1
 
0.1%
38567 1
 
0.1%
69235 1
 
0.1%
39590 1
 
0.1%
Other values (23) 23
 
1.2%
2023-12-09T21:00:26.495570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
o 964
7.6%
b 964
7.6%
i 964
7.6%
e 964
7.6%
v 964
7.6%
A 964
7.6%
964
7.6%
Other values (11) 1121
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.0%
Uppercase Letter 1928
 
15.2%
Space Separator 964
 
7.6%
Decimal Number 157
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29
18.5%
7 19
12.1%
2 18
11.5%
8 16
10.2%
4 16
10.2%
5 15
9.6%
1 13
8.3%
3 11
 
7.0%
6 10
 
6.4%
9 10
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
b 964
10.0%
i 964
10.0%
e 964
10.0%
v 964
10.0%
t 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.2%
Common 1121
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
964
86.0%
0 29
 
2.6%
7 19
 
1.7%
2 18
 
1.6%
8 16
 
1.4%
4 16
 
1.4%
5 15
 
1.3%
1 13
 
1.2%
3 11
 
1.0%
6 10
 
0.9%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
b 964
8.3%
i 964
8.3%
e 964
8.3%
v 964
8.3%
A 964
8.3%
t 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
o 964
7.6%
b 964
7.6%
i 964
7.6%
e 964
7.6%
v 964
7.6%
A 964
7.6%
964
7.6%
Other values (11) 1121
8.8%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:00:26.696089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.593
Min length1

Characters and Unicode

Total characters12593
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 30
 
1.5%
91262 1
 
0.1%
9805 1
 
0.1%
305427 1
 
0.1%
198170 1
 
0.1%
2464 1
 
0.1%
129638 1
 
0.1%
2023-12-09T21:00:27.004261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
b 964
7.7%
i 964
7.7%
e 964
7.7%
v 964
7.7%
A 964
7.7%
964
7.7%
Other values (11) 1025
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.6%
Uppercase Letter 1928
 
15.3%
Space Separator 964
 
7.7%
Decimal Number 61
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
54.1%
2 5
 
8.2%
9 4
 
6.6%
1 4
 
6.6%
6 3
 
4.9%
8 3
 
4.9%
4 3
 
4.9%
5 2
 
3.3%
3 2
 
3.3%
7 2
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
b 964
10.0%
i 964
10.0%
e 964
10.0%
v 964
10.0%
t 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.9%
Common 1025
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
964
94.0%
0 33
 
3.2%
2 5
 
0.5%
9 4
 
0.4%
1 4
 
0.4%
6 3
 
0.3%
8 3
 
0.3%
4 3
 
0.3%
5 2
 
0.2%
3 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
b 964
8.3%
i 964
8.3%
e 964
8.3%
v 964
8.3%
A 964
8.3%
t 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.3%
l 1928
15.3%
N 964
7.7%
o 964
7.7%
b 964
7.7%
i 964
7.7%
e 964
7.7%
v 964
7.7%
A 964
7.7%
964
7.7%
Other values (11) 1025
8.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:00:27.192416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.579
Min length1

Characters and Unicode

Total characters12579
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
0 33
 
1.7%
6000 1
 
0.1%
19081 1
 
0.1%
69184 1
 
0.1%
2023-12-09T21:00:27.502284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1928
15.3%
a 1928
15.3%
e 964
7.7%
b 964
7.7%
o 964
7.7%
i 964
7.7%
N 964
7.7%
v 964
7.7%
A 964
7.7%
964
7.7%
Other values (7) 1011
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
76.6%
Uppercase Letter 1928
 
15.3%
Space Separator 964
 
7.7%
Decimal Number 47
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1928
20.0%
a 1928
20.0%
e 964
10.0%
b 964
10.0%
o 964
10.0%
i 964
10.0%
v 964
10.0%
t 964
10.0%
Decimal Number
ValueCountFrequency (%)
0 37
78.7%
1 3
 
6.4%
6 2
 
4.3%
9 2
 
4.3%
8 2
 
4.3%
4 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
92.0%
Common 1011
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1928
16.7%
a 1928
16.7%
e 964
8.3%
b 964
8.3%
o 964
8.3%
i 964
8.3%
N 964
8.3%
v 964
8.3%
A 964
8.3%
t 964
8.3%
Common
ValueCountFrequency (%)
964
95.4%
0 37
 
3.7%
1 3
 
0.3%
6 2
 
0.2%
9 2
 
0.2%
8 2
 
0.2%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1928
15.3%
a 1928
15.3%
e 964
7.7%
b 964
7.7%
o 964
7.7%
i 964
7.7%
N 964
7.7%
v 964
7.7%
A 964
7.7%
964
7.7%
Other values (7) 1011
8.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:27.676412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5000 1
 
0.1%
2023-12-09T21:00:27.968846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
5 1
 
25.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 3
 
0.3%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:00:28.199646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.756
Min length1

Characters and Unicode

Total characters12756
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
5644 2
 
0.1%
34454 1
 
0.1%
7500 1
 
0.1%
25369 1
 
0.1%
14109 1
 
0.1%
12247 1
 
0.1%
5399 1
 
0.1%
6660 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T21:00:28.573373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1944
15.2%
a 1944
15.2%
o 972
7.6%
e 972
7.6%
b 972
7.6%
i 972
7.6%
N 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (12) 1092
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.2%
Uppercase Letter 1944
 
15.2%
Space Separator 972
 
7.6%
Decimal Number 119
 
0.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
13.4%
4 15
12.6%
3 15
12.6%
1 14
11.8%
6 12
10.1%
2 12
10.1%
5 11
9.2%
7 9
7.6%
9 8
6.7%
8 7
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 1944
20.0%
a 1944
20.0%
o 972
10.0%
e 972
10.0%
b 972
10.0%
i 972
10.0%
v 972
10.0%
t 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.4%
Common 1092
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
972
89.0%
0 16
 
1.5%
4 15
 
1.4%
3 15
 
1.4%
1 14
 
1.3%
6 12
 
1.1%
2 12
 
1.1%
5 11
 
1.0%
7 9
 
0.8%
9 8
 
0.7%
Other values (2) 8
 
0.7%
Latin
ValueCountFrequency (%)
l 1944
16.7%
a 1944
16.7%
o 972
8.3%
e 972
8.3%
b 972
8.3%
i 972
8.3%
N 972
8.3%
v 972
8.3%
A 972
8.3%
t 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1944
15.2%
a 1944
15.2%
o 972
7.6%
e 972
7.6%
b 972
7.6%
i 972
7.6%
N 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (12) 1092
8.6%
Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:00:28.797677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.721
Min length1

Characters and Unicode

Total characters12721
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)1.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 973
49.3%
available 973
49.3%
0 2
 
0.1%
55 2
 
0.1%
119 2
 
0.1%
70 2
 
0.1%
77 1
 
0.1%
65 1
 
0.1%
85 1
 
0.1%
104 1
 
0.1%
Other values (15) 15
 
0.8%
2023-12-09T21:00:29.141827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.6%
t 973
7.6%
973
7.6%
A 973
7.6%
v 973
7.6%
i 973
7.6%
b 973
7.6%
e 973
7.6%
Other values (12) 1045
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9730
76.5%
Uppercase Letter 1946
 
15.3%
Space Separator 973
 
7.6%
Decimal Number 67
 
0.5%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12
17.9%
0 12
17.9%
1 11
16.4%
9 7
10.4%
6 7
10.4%
7 6
9.0%
8 4
 
6.0%
3 4
 
6.0%
4 3
 
4.5%
2 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 1946
20.0%
l 1946
20.0%
t 973
10.0%
v 973
10.0%
i 973
10.0%
b 973
10.0%
e 973
10.0%
o 973
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 973
50.0%
A 973
50.0%
Space Separator
ValueCountFrequency (%)
973
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11676
91.8%
Common 1045
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
973
93.1%
5 12
 
1.1%
0 12
 
1.1%
1 11
 
1.1%
9 7
 
0.7%
6 7
 
0.7%
7 6
 
0.6%
. 5
 
0.5%
8 4
 
0.4%
3 4
 
0.4%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
a 1946
16.7%
l 1946
16.7%
N 973
8.3%
t 973
8.3%
A 973
8.3%
v 973
8.3%
i 973
8.3%
b 973
8.3%
e 973
8.3%
o 973
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12721
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1946
15.3%
l 1946
15.3%
N 973
7.6%
t 973
7.6%
973
7.6%
A 973
7.6%
v 973
7.6%
i 973
7.6%
b 973
7.6%
e 973
7.6%
Other values (12) 1045
8.2%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:00:29.374447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.836
Min length1

Characters and Unicode

Total characters12836
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)2.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 974
49.3%
available 974
49.3%
4.42948 2
 
0.1%
1.30548 1
 
0.1%
5.71568 1
 
0.1%
3.003 1
 
0.1%
7.73196 1
 
0.1%
5.90099 1
 
0.1%
3.57238 1
 
0.1%
3.06021 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T21:00:29.731206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1148
8.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9740
75.9%
Uppercase Letter 1948
 
15.2%
Space Separator 974
 
7.6%
Decimal Number 149
 
1.2%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 24
16.1%
8 16
10.7%
6 16
10.7%
4 16
10.7%
0 15
10.1%
1 15
10.1%
2 14
9.4%
9 13
8.7%
5 12
8.1%
7 8
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 1948
20.0%
l 1948
20.0%
t 974
10.0%
v 974
10.0%
i 974
10.0%
b 974
10.0%
e 974
10.0%
o 974
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 974
50.0%
A 974
50.0%
Space Separator
ValueCountFrequency (%)
974
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11688
91.1%
Common 1148
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
974
84.8%
. 25
 
2.2%
3 24
 
2.1%
8 16
 
1.4%
6 16
 
1.4%
4 16
 
1.4%
0 15
 
1.3%
1 15
 
1.3%
2 14
 
1.2%
9 13
 
1.1%
Other values (2) 20
 
1.7%
Latin
ValueCountFrequency (%)
a 1948
16.7%
l 1948
16.7%
N 974
8.3%
t 974
8.3%
A 974
8.3%
v 974
8.3%
i 974
8.3%
b 974
8.3%
e 974
8.3%
o 974
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1948
15.2%
l 1948
15.2%
N 974
7.6%
t 974
7.6%
974
7.6%
A 974
7.6%
v 974
7.6%
i 974
7.6%
b 974
7.6%
e 974
7.6%
Other values (12) 1148
8.9%
Distinct47
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T21:00:30.017045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.637
Min length4

Characters and Unicode

Total characters12637
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)4.6%

Sample

1st rowNot Available
2nd row15789
3rd rowNot Available
4th rowNot Available
5th row62864
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
7925 1
 
0.1%
5837 1
 
0.1%
62864 1
 
0.1%
133882 1
 
0.1%
92334 1
 
0.1%
849062 1
 
0.1%
59000 1
 
0.1%
492752 1
 
0.1%
Other values (38) 38
 
1.9%
2023-12-09T21:00:30.427371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.1%
l 1908
15.1%
N 954
7.5%
o 954
7.5%
t 954
7.5%
954
7.5%
A 954
7.5%
v 954
7.5%
i 954
7.5%
b 954
7.5%
Other values (12) 1189
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
75.5%
Uppercase Letter 1908
 
15.1%
Space Separator 954
 
7.5%
Decimal Number 234
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 31
13.2%
0 28
12.0%
4 28
12.0%
3 25
10.7%
6 23
9.8%
8 22
9.4%
5 21
9.0%
9 20
8.5%
2 19
8.1%
7 17
7.3%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
90.6%
Common 1189
 
9.4%

Most frequent character per script

Common
ValueCountFrequency (%)
954
80.2%
1 31
 
2.6%
0 28
 
2.4%
4 28
 
2.4%
3 25
 
2.1%
6 23
 
1.9%
8 22
 
1.9%
5 21
 
1.8%
9 20
 
1.7%
2 19
 
1.6%
Other values (2) 18
 
1.5%
Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.1%
l 1908
15.1%
N 954
7.5%
o 954
7.5%
t 954
7.5%
954
7.5%
A 954
7.5%
v 954
7.5%
i 954
7.5%
b 954
7.5%
Other values (12) 1189
9.4%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T21:00:30.617323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.448
Min length1

Characters and Unicode

Total characters12448
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
0 35
 
1.8%
7 5
 
0.3%
1 3
 
0.2%
2 2
 
0.1%
8 1
 
0.1%
2023-12-09T21:00:30.918911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
t 954
7.7%
954
7.7%
A 954
7.7%
v 954
7.7%
i 954
7.7%
b 954
7.7%
Other values (6) 1000
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.6%
Uppercase Letter 1908
 
15.3%
Space Separator 954
 
7.7%
Decimal Number 46
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
t 954
10.0%
v 954
10.0%
i 954
10.0%
b 954
10.0%
e 954
10.0%
Decimal Number
ValueCountFrequency (%)
0 35
76.1%
7 5
 
10.9%
1 3
 
6.5%
2 2
 
4.3%
8 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
92.0%
Common 1000
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
t 954
8.3%
A 954
8.3%
v 954
8.3%
i 954
8.3%
b 954
8.3%
e 954
8.3%
Common
ValueCountFrequency (%)
954
95.4%
0 35
 
3.5%
7 5
 
0.5%
1 3
 
0.3%
2 2
 
0.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
t 954
7.7%
954
7.7%
A 954
7.7%
v 954
7.7%
i 954
7.7%
b 954
7.7%
Other values (6) 1000
8.0%
Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T21:00:31.115469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.457
Min length1

Characters and Unicode

Total characters12457
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd row0
3rd rowNot Available
4th rowNot Available
5th row5
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
0 27
 
1.4%
5 3
 
0.2%
1 3
 
0.2%
2 2
 
0.1%
15 1
 
0.1%
39 1
 
0.1%
17 1
 
0.1%
52 1
 
0.1%
Other values (7) 7
 
0.4%
2023-12-09T21:00:31.431690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
b 954
7.7%
i 954
7.7%
e 954
7.7%
v 954
7.7%
A 954
7.7%
954
7.7%
Other values (10) 1009
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.6%
Uppercase Letter 1908
 
15.3%
Space Separator 954
 
7.7%
Decimal Number 55
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
49.1%
5 8
 
14.5%
1 7
 
12.7%
2 3
 
5.5%
9 3
 
5.5%
4 2
 
3.6%
3 2
 
3.6%
7 2
 
3.6%
6 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
o 954
10.0%
b 954
10.0%
i 954
10.0%
e 954
10.0%
v 954
10.0%
t 954
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.9%
Common 1009
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
o 954
8.3%
b 954
8.3%
i 954
8.3%
e 954
8.3%
v 954
8.3%
A 954
8.3%
t 954
8.3%
Common
ValueCountFrequency (%)
954
94.5%
0 27
 
2.7%
5 8
 
0.8%
1 7
 
0.7%
2 3
 
0.3%
9 3
 
0.3%
4 2
 
0.2%
3 2
 
0.2%
7 2
 
0.2%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.3%
l 1908
15.3%
N 954
7.7%
o 954
7.7%
b 954
7.7%
i 954
7.7%
e 954
7.7%
v 954
7.7%
A 954
7.7%
954
7.7%
Other values (10) 1009
8.1%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T21:00:31.606816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.541
Min length2

Characters and Unicode

Total characters12541
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 954
48.8%
available 954
48.8%
100 44
 
2.3%
95.52 1
 
0.1%
80 1
 
0.1%
2023-12-09T21:00:31.904023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1908
15.2%
l 1908
15.2%
N 954
7.6%
e 954
7.6%
o 954
7.6%
i 954
7.6%
b 954
7.6%
v 954
7.6%
A 954
7.6%
954
7.6%
Other values (8) 1093
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9540
76.1%
Uppercase Letter 1908
 
15.2%
Space Separator 954
 
7.6%
Decimal Number 138
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1908
20.0%
l 1908
20.0%
e 954
10.0%
o 954
10.0%
i 954
10.0%
b 954
10.0%
v 954
10.0%
t 954
10.0%
Decimal Number
ValueCountFrequency (%)
0 89
64.5%
1 44
31.9%
5 2
 
1.4%
9 1
 
0.7%
2 1
 
0.7%
8 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
N 954
50.0%
A 954
50.0%
Space Separator
ValueCountFrequency (%)
954
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11448
91.3%
Common 1093
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1908
16.7%
l 1908
16.7%
N 954
8.3%
e 954
8.3%
o 954
8.3%
i 954
8.3%
b 954
8.3%
v 954
8.3%
A 954
8.3%
t 954
8.3%
Common
ValueCountFrequency (%)
954
87.3%
0 89
 
8.1%
1 44
 
4.0%
5 2
 
0.2%
9 1
 
0.1%
. 1
 
0.1%
2 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1908
15.2%
l 1908
15.2%
N 954
7.6%
e 954
7.6%
o 954
7.6%
i 954
7.6%
b 954
7.6%
v 954
7.6%
A 954
7.6%
954
7.6%
Other values (8) 1093
8.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:32.075841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
9004 1
 
0.1%
2023-12-09T21:00:32.367385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
9 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 2
 
0.2%
9 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:32.542892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.969
Min length5

Characters and Unicode

Total characters12969
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
67129 2
 
0.1%
107569 1
 
0.1%
93000 1
 
0.1%
2023-12-09T21:00:32.849833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1017
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 21
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
9 4
19.0%
0 4
19.0%
6 3
14.3%
7 3
14.3%
1 3
14.3%
2 2
9.5%
5 1
 
4.8%
3 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.2%
Common 1017
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
97.9%
9 4
 
0.4%
0 4
 
0.4%
6 3
 
0.3%
7 3
 
0.3%
1 3
 
0.3%
2 2
 
0.2%
5 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1017
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:33.025703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.976
Min length7

Characters and Unicode

Total characters12976
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
1.16194 2
 
0.1%
1.09697 1
 
0.1%
1.49462 1
 
0.1%
2023-12-09T21:00:33.338360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 24
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
e 996
10.0%
o 996
10.0%
i 996
10.0%
b 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
1 8
33.3%
9 5
20.8%
6 4
16.7%
4 4
16.7%
0 1
 
4.2%
7 1
 
4.2%
2 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1024
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
e 996
8.3%
o 996
8.3%
i 996
8.3%
b 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
97.3%
1 8
 
0.8%
9 5
 
0.5%
. 4
 
0.4%
6 4
 
0.4%
4 4
 
0.4%
0 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
e 996
7.7%
o 996
7.7%
i 996
7.7%
b 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (9) 1024
7.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:33.513396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length5

Characters and Unicode

Total characters12984
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
41501 1
 
0.1%
69019 1
 
0.1%
2023-12-09T21:00:33.816522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
0 2
20.0%
9 2
20.0%
4 1
 
10.0%
5 1
 
10.0%
6 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.0%
1 3
 
0.3%
0 2
 
0.2%
9 2
 
0.2%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:33.986496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
60000 1
 
0.1%
2023-12-09T21:00:34.293617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 4
80.0%
6 1
 
20.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
0 4
 
0.4%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:34.465693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.989
Min length2

Characters and Unicode

Total characters12989
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
40 1
 
0.1%
2023-12-09T21:00:34.758711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.8%
4 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12989
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1001
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:34.935563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length1

Characters and Unicode

Total characters12988
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5 1
 
0.1%
2023-12-09T21:00:35.229583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.9%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:35.404944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
85082 1
 
0.1%
2023-12-09T21:00:35.712548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
8 2
40.0%
5 1
20.0%
0 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
8 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1004
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:35.880947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:36.166010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:36.339543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.995
Min length8

Characters and Unicode

Total characters12995
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
100 1
 
< 0.1%
yes 1
 
< 0.1%
2023-12-09T21:00:36.633327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
1000
7.7%
e 1000
7.7%
N 999
7.7%
o 999
7.7%
t 999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
Other values (6) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9992
76.9%
Uppercase Letter 1999
 
15.4%
Space Separator 1000
 
7.7%
Decimal Number 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
e 1000
10.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Y 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11991
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
e 1000
8.3%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
1000
99.6%
0 2
 
0.2%
1 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
1000
7.7%
e 1000
7.7%
N 999
7.7%
o 999
7.7%
t 999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
Other values (6) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:36.801409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:37.086919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:00:37.204126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.015
Min length2

Characters and Unicode

Total characters2015
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 995
99.4%
yes 4
 
0.4%
not 1
 
0.1%
available 1
 
0.1%
2023-12-09T21:00:37.446099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 996
49.4%
o 996
49.4%
e 5
 
0.2%
Y 4
 
0.2%
s 4
 
0.2%
a 2
 
0.1%
l 2
 
0.1%
t 1
 
< 0.1%
1
 
< 0.1%
A 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1013
50.3%
Uppercase Letter 1001
49.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 996
98.3%
e 5
 
0.5%
s 4
 
0.4%
a 2
 
0.2%
l 2
 
0.2%
t 1
 
0.1%
v 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 996
99.5%
Y 4
 
0.4%
A 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2014
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 996
49.5%
o 996
49.5%
e 5
 
0.2%
Y 4
 
0.2%
s 4
 
0.2%
a 2
 
0.1%
l 2
 
0.1%
t 1
 
< 0.1%
A 1
 
< 0.1%
v 1
 
< 0.1%
Other values (2) 2
 
0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 996
49.4%
o 996
49.4%
e 5
 
0.2%
Y 4
 
0.2%
s 4
 
0.2%
a 2
 
0.1%
l 2
 
0.1%
t 1
 
< 0.1%
1
 
< 0.1%
A 1
 
< 0.1%
Other values (3) 3
 
0.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.3 KiB
2023-12-09T21:00:37.571330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.618
Min length2

Characters and Unicode

Total characters2618
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 942
89.2%
not 56
 
5.3%
available 56
 
5.3%
yes 2
 
0.2%
2023-12-09T21:00:37.811803image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 998
38.1%
o 998
38.1%
a 112
 
4.3%
l 112
 
4.3%
e 58
 
2.2%
t 56
 
2.1%
56
 
2.1%
A 56
 
2.1%
v 56
 
2.1%
i 56
 
2.1%
Other values (3) 60
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1506
57.5%
Uppercase Letter 1056
40.3%
Space Separator 56
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 998
66.3%
a 112
 
7.4%
l 112
 
7.4%
e 58
 
3.9%
t 56
 
3.7%
v 56
 
3.7%
i 56
 
3.7%
b 56
 
3.7%
s 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
94.5%
A 56
 
5.3%
Y 2
 
0.2%
Space Separator
ValueCountFrequency (%)
56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2562
97.9%
Common 56
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 998
39.0%
o 998
39.0%
a 112
 
4.4%
l 112
 
4.4%
e 58
 
2.3%
t 56
 
2.2%
A 56
 
2.2%
v 56
 
2.2%
i 56
 
2.2%
b 56
 
2.2%
Other values (2) 4
 
0.2%
Common
ValueCountFrequency (%)
56
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 998
38.1%
o 998
38.1%
a 112
 
4.3%
l 112
 
4.3%
e 58
 
2.2%
t 56
 
2.1%
56
 
2.1%
A 56
 
2.1%
v 56
 
2.1%
i 56
 
2.1%
Other values (3) 60
 
2.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:37.987082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:38.287211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size62.1 KiB
2023-12-09T21:00:38.447998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length6.488
Min length2

Characters and Unicode

Total characters6488
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
no 592
42.0%
not 408
29.0%
available 408
29.0%
2023-12-09T21:00:39.796545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1000
15.4%
o 1000
15.4%
a 816
12.6%
l 816
12.6%
t 408
6.3%
408
6.3%
A 408
6.3%
v 408
6.3%
i 408
6.3%
b 408
6.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4672
72.0%
Uppercase Letter 1408
 
21.7%
Space Separator 408
 
6.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1000
21.4%
a 816
17.5%
l 816
17.5%
t 408
8.7%
v 408
8.7%
i 408
8.7%
b 408
8.7%
e 408
8.7%
Uppercase Letter
ValueCountFrequency (%)
N 1000
71.0%
A 408
29.0%
Space Separator
ValueCountFrequency (%)
408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6080
93.7%
Common 408
 
6.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1000
16.4%
o 1000
16.4%
a 816
13.4%
l 816
13.4%
t 408
6.7%
A 408
6.7%
v 408
6.7%
i 408
6.7%
b 408
6.7%
e 408
6.7%
Common
ValueCountFrequency (%)
408
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6488
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1000
15.4%
o 1000
15.4%
a 816
12.6%
l 816
12.6%
t 408
6.3%
408
6.3%
A 408
6.3%
v 408
6.3%
i 408
6.3%
b 408
6.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size65.2 KiB
2023-12-09T21:00:39.972677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length9.623
Min length2

Characters and Unicode

Total characters9623
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 693
40.9%
available 693
40.9%
no 307
18.1%
2023-12-09T21:00:40.293111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1386
14.4%
l 1386
14.4%
N 1000
10.4%
o 1000
10.4%
t 693
7.2%
693
7.2%
A 693
7.2%
v 693
7.2%
i 693
7.2%
b 693
7.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7237
75.2%
Uppercase Letter 1693
 
17.6%
Space Separator 693
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1386
19.2%
l 1386
19.2%
o 1000
13.8%
t 693
9.6%
v 693
9.6%
i 693
9.6%
b 693
9.6%
e 693
9.6%
Uppercase Letter
ValueCountFrequency (%)
N 1000
59.1%
A 693
40.9%
Space Separator
ValueCountFrequency (%)
693
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8930
92.8%
Common 693
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1386
15.5%
l 1386
15.5%
N 1000
11.2%
o 1000
11.2%
t 693
7.8%
A 693
7.8%
v 693
7.8%
i 693
7.8%
b 693
7.8%
e 693
7.8%
Common
ValueCountFrequency (%)
693
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9623
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1386
14.4%
l 1386
14.4%
N 1000
10.4%
o 1000
10.4%
t 693
7.2%
693
7.2%
A 693
7.2%
v 693
7.2%
i 693
7.2%
b 693
7.2%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size66.2 KiB
2023-12-09T21:00:40.480468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.69
Min length2

Characters and Unicode

Total characters10690
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 790
44.1%
available 790
44.1%
no 210
 
11.7%
2023-12-09T21:00:40.806899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1580
14.8%
l 1580
14.8%
N 1000
9.4%
o 1000
9.4%
t 790
7.4%
790
7.4%
A 790
7.4%
v 790
7.4%
i 790
7.4%
b 790
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8110
75.9%
Uppercase Letter 1790
 
16.7%
Space Separator 790
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1580
19.5%
l 1580
19.5%
o 1000
12.3%
t 790
9.7%
v 790
9.7%
i 790
9.7%
b 790
9.7%
e 790
9.7%
Uppercase Letter
ValueCountFrequency (%)
N 1000
55.9%
A 790
44.1%
Space Separator
ValueCountFrequency (%)
790
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9900
92.6%
Common 790
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1580
16.0%
l 1580
16.0%
N 1000
10.1%
o 1000
10.1%
t 790
8.0%
A 790
8.0%
v 790
8.0%
i 790
8.0%
b 790
8.0%
e 790
8.0%
Common
ValueCountFrequency (%)
790
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1580
14.8%
l 1580
14.8%
N 1000
9.4%
o 1000
9.4%
t 790
7.4%
790
7.4%
A 790
7.4%
v 790
7.4%
i 790
7.4%
b 790
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T21:00:40.982603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.616
Min length2

Characters and Unicode

Total characters11616
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
not 874
46.6%
available 874
46.6%
no 124
 
6.6%
yes 2
 
0.1%
2023-12-09T21:00:41.296167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1748
15.0%
l 1748
15.0%
N 998
8.6%
o 998
8.6%
e 876
7.5%
t 874
7.5%
874
7.5%
A 874
7.5%
v 874
7.5%
i 874
7.5%
Other values (3) 878
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8868
76.3%
Uppercase Letter 1874
 
16.1%
Space Separator 874
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1748
19.7%
l 1748
19.7%
o 998
11.3%
e 876
9.9%
t 874
9.9%
v 874
9.9%
i 874
9.9%
b 874
9.9%
s 2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
53.3%
A 874
46.6%
Y 2
 
0.1%
Space Separator
ValueCountFrequency (%)
874
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10742
92.5%
Common 874
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1748
16.3%
l 1748
16.3%
N 998
9.3%
o 998
9.3%
e 876
8.2%
t 874
8.1%
A 874
8.1%
v 874
8.1%
i 874
8.1%
b 874
8.1%
Other values (2) 4
 
< 0.1%
Common
ValueCountFrequency (%)
874
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1748
15.0%
l 1748
15.0%
N 998
8.6%
o 998
8.6%
e 876
7.5%
t 874
7.5%
874
7.5%
A 874
7.5%
v 874
7.5%
i 874
7.5%
Other values (3) 878
7.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T21:00:41.473731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.846
Min length2

Characters and Unicode

Total characters12846
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 986
49.6%
available 986
49.6%
no 14
 
0.7%
2023-12-09T21:00:41.764901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1972
15.4%
l 1972
15.4%
N 1000
7.8%
o 1000
7.8%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9874
76.9%
Uppercase Letter 1986
 
15.5%
Space Separator 986
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1972
20.0%
l 1972
20.0%
o 1000
10.1%
t 986
10.0%
v 986
10.0%
i 986
10.0%
b 986
10.0%
e 986
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.4%
A 986
49.6%
Space Separator
ValueCountFrequency (%)
986
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11860
92.3%
Common 986
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1972
16.6%
l 1972
16.6%
N 1000
8.4%
o 1000
8.4%
t 986
8.3%
A 986
8.3%
v 986
8.3%
i 986
8.3%
b 986
8.3%
e 986
8.3%
Common
ValueCountFrequency (%)
986
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1972
15.4%
l 1972
15.4%
N 1000
7.8%
o 1000
7.8%
t 986
7.7%
986
7.7%
A 986
7.7%
v 986
7.7%
i 986
7.7%
b 986
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:00:41.884933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.008
Min length2

Characters and Unicode

Total characters2008
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 992
99.2%
yes 8
 
0.8%
2023-12-09T21:00:42.117614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 992
49.4%
o 992
49.4%
Y 8
 
0.4%
e 8
 
0.4%
s 8
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1008
50.2%
Uppercase Letter 1000
49.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 992
98.4%
e 8
 
0.8%
s 8
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 992
99.2%
Y 8
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 2008
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 992
49.4%
o 992
49.4%
Y 8
 
0.4%
e 8
 
0.4%
s 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 992
49.4%
o 992
49.4%
Y 8
 
0.4%
e 8
 
0.4%
s 8
 
0.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.7 KiB
2023-12-09T21:00:42.292300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length11.177
Min length2

Characters and Unicode

Total characters11177
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowUnable to Check (not enough data)
2nd rowNo
3rd rowUnable to Check (not enough data)
4th rowUnable to Check (not enough data)
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
no 703
28.3%
unable 296
11.9%
to 296
11.9%
check 296
11.9%
not 296
11.9%
enough 296
11.9%
data 296
11.9%
yes 1
 
< 0.1%
2023-12-09T21:00:42.595062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1591
14.2%
1480
13.2%
e 889
 
8.0%
n 888
 
7.9%
a 888
 
7.9%
t 888
 
7.9%
N 703
 
6.3%
h 592
 
5.3%
( 296
 
2.6%
) 296
 
2.6%
Other values (11) 2666
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7809
69.9%
Space Separator 1480
 
13.2%
Uppercase Letter 1296
 
11.6%
Open Punctuation 296
 
2.6%
Close Punctuation 296
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1591
20.4%
e 889
11.4%
n 888
11.4%
a 888
11.4%
t 888
11.4%
h 592
 
7.6%
d 296
 
3.8%
g 296
 
3.8%
u 296
 
3.8%
k 296
 
3.8%
Other values (4) 889
11.4%
Uppercase Letter
ValueCountFrequency (%)
N 703
54.2%
C 296
22.8%
U 296
22.8%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1480
100.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9105
81.5%
Common 2072
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1591
17.5%
e 889
9.8%
n 888
9.8%
a 888
9.8%
t 888
9.8%
N 703
 
7.7%
h 592
 
6.5%
d 296
 
3.3%
g 296
 
3.3%
u 296
 
3.3%
Other values (8) 1778
19.5%
Common
ValueCountFrequency (%)
1480
71.4%
( 296
 
14.3%
) 296
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1591
14.2%
1480
13.2%
e 889
 
8.0%
n 888
 
7.9%
a 888
 
7.9%
t 888
 
7.9%
N 703
 
6.3%
h 592
 
5.3%
( 296
 
2.6%
) 296
 
2.6%
Other values (11) 2666
23.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:42.707352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:00:42.930516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:43.039110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:00:43.259637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:43.397416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:00:43.682227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:00:43.845546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.012
Min length2

Characters and Unicode

Total characters2012
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 999
99.8%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T21:00:44.163988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1010
50.2%
Uppercase Letter 1001
49.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
98.9%
s 4
 
0.4%
e 2
 
0.2%
o 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
l 1
 
0.1%
u 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 999
99.8%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2011
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
I 1
 
< 0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:44.270708image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:00:44.491945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

alert_energy_meter_has
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:44.606168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:00:44.838273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

alert_energy_no_meters
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:44.947650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T21:00:45.189084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:00:45.327549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.036
Min length2

Characters and Unicode

Total characters2036
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 997
99.4%
possible 3
 
0.3%
issue 3
 
0.3%
2023-12-09T21:00:45.582872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 997
49.0%
k 997
49.0%
s 12
 
0.6%
e 6
 
0.3%
P 3
 
0.1%
o 3
 
0.1%
i 3
 
0.1%
b 3
 
0.1%
l 3
 
0.1%
3
 
0.1%
Other values (2) 6
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1030
50.6%
Uppercase Letter 1003
49.3%
Space Separator 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 997
96.8%
s 12
 
1.2%
e 6
 
0.6%
o 3
 
0.3%
i 3
 
0.3%
b 3
 
0.3%
l 3
 
0.3%
u 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
O 997
99.4%
P 3
 
0.3%
I 3
 
0.3%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2033
99.9%
Common 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 997
49.0%
k 997
49.0%
s 12
 
0.6%
e 6
 
0.3%
P 3
 
0.1%
o 3
 
0.1%
i 3
 
0.1%
b 3
 
0.1%
l 3
 
0.1%
I 3
 
0.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 997
49.0%
k 997
49.0%
s 12
 
0.6%
e 6
 
0.3%
P 3
 
0.1%
o 3
 
0.1%
i 3
 
0.1%
b 3
 
0.1%
l 3
 
0.1%
3
 
0.1%
Other values (2) 6
 
0.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.9 KiB
2023-12-09T21:00:45.751055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length11.38
Min length2

Characters and Unicode

Total characters11380
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnable to Check (not enough data)
2nd rowOk
3rd rowUnable to Check (not enough data)
4th rowUnable to Check (not enough data)
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
ok 687
27.5%
unable 296
11.9%
to 296
11.9%
check 296
11.9%
not 296
11.9%
enough 296
11.9%
data 296
11.9%
possible 17
 
0.7%
issue 17
 
0.7%
2023-12-09T21:00:46.056761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1497
13.2%
k 983
 
8.6%
e 922
 
8.1%
o 905
 
8.0%
n 888
 
7.8%
a 888
 
7.8%
t 888
 
7.8%
O 687
 
6.0%
h 592
 
5.2%
u 313
 
2.8%
Other values (13) 2817
24.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7978
70.1%
Space Separator 1497
 
13.2%
Uppercase Letter 1313
 
11.5%
Close Punctuation 296
 
2.6%
Open Punctuation 296
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 983
12.3%
e 922
11.6%
o 905
11.3%
n 888
11.1%
a 888
11.1%
t 888
11.1%
h 592
7.4%
u 313
 
3.9%
b 313
 
3.9%
l 313
 
3.9%
Other values (5) 973
12.2%
Uppercase Letter
ValueCountFrequency (%)
O 687
52.3%
C 296
22.5%
U 296
22.5%
P 17
 
1.3%
I 17
 
1.3%
Space Separator
ValueCountFrequency (%)
1497
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9291
81.6%
Common 2089
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 983
10.6%
e 922
9.9%
o 905
9.7%
n 888
9.6%
a 888
9.6%
t 888
9.6%
O 687
 
7.4%
h 592
 
6.4%
u 313
 
3.4%
b 313
 
3.4%
Other values (10) 1912
20.6%
Common
ValueCountFrequency (%)
1497
71.7%
) 296
 
14.2%
( 296
 
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1497
13.2%
k 983
 
8.6%
e 922
 
8.1%
o 905
 
8.0%
n 888
 
7.8%
a 888
 
7.8%
t 888
 
7.8%
O 687
 
6.0%
h 592
 
5.2%
u 313
 
2.8%
Other values (13) 2817
24.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T21:00:46.178502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.013
Min length2

Characters and Unicode

Total characters2013
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 987
98.7%
yes 13
 
1.3%
2023-12-09T21:00:46.441908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 987
49.0%
o 987
49.0%
Y 13
 
0.6%
e 13
 
0.6%
s 13
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1013
50.3%
Uppercase Letter 1000
49.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 987
97.4%
e 13
 
1.3%
s 13
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
N 987
98.7%
Y 13
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2013
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 987
49.0%
o 987
49.0%
Y 13
 
0.6%
e 13
 
0.6%
s 13
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 987
49.0%
o 987
49.0%
Y 13
 
0.6%
e 13
 
0.6%
s 13
 
0.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T21:00:46.559744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.004
Min length2

Characters and Unicode

Total characters2004
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 996
99.6%
yes 4
 
0.4%
2023-12-09T21:00:46.800000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 996
49.7%
o 996
49.7%
Y 4
 
0.2%
e 4
 
0.2%
s 4
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1004
50.1%
Uppercase Letter 1000
49.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 996
99.2%
e 4
 
0.4%
s 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 996
99.6%
Y 4
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 2004
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 996
49.7%
o 996
49.7%
Y 4
 
0.2%
e 4
 
0.2%
s 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 996
49.7%
o 996
49.7%
Y 4
 
0.2%
e 4
 
0.2%
s 4
 
0.2%
Distinct38
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:00:47.053194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.748
Min length10

Characters and Unicode

Total characters12748
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 916
47.8%
available 916
47.8%
2020-07-29 10
 
0.5%
2020-05-28 9
 
0.5%
2020-07-30 7
 
0.4%
2020-05-01 6
 
0.3%
2020-07-21 5
 
0.3%
2020-10-28 4
 
0.2%
2020-04-23 3
 
0.2%
2020-04-15 3
 
0.2%
Other values (29) 37
 
1.9%
2023-12-09T21:00:47.459353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1832
14.4%
l 1832
14.4%
N 916
7.2%
t 916
7.2%
916
7.2%
A 916
7.2%
v 916
7.2%
i 916
7.2%
b 916
7.2%
e 916
7.2%
Other values (12) 1756
13.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9160
71.9%
Uppercase Letter 1832
 
14.4%
Space Separator 916
 
7.2%
Decimal Number 672
 
5.3%
Dash Punctuation 168
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 276
41.1%
2 222
33.0%
1 37
 
5.5%
7 32
 
4.8%
4 23
 
3.4%
5 21
 
3.1%
8 21
 
3.1%
3 16
 
2.4%
9 15
 
2.2%
6 9
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
a 1832
20.0%
l 1832
20.0%
t 916
10.0%
v 916
10.0%
i 916
10.0%
b 916
10.0%
e 916
10.0%
o 916
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 916
50.0%
A 916
50.0%
Space Separator
ValueCountFrequency (%)
916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10992
86.2%
Common 1756
 
13.8%

Most frequent character per script

Common
ValueCountFrequency (%)
916
52.2%
0 276
 
15.7%
2 222
 
12.6%
- 168
 
9.6%
1 37
 
2.1%
7 32
 
1.8%
4 23
 
1.3%
5 21
 
1.2%
8 21
 
1.2%
3 16
 
0.9%
Other values (2) 24
 
1.4%
Latin
ValueCountFrequency (%)
a 1832
16.7%
l 1832
16.7%
N 916
8.3%
t 916
8.3%
A 916
8.3%
v 916
8.3%
i 916
8.3%
b 916
8.3%
e 916
8.3%
o 916
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1832
14.4%
l 1832
14.4%
N 916
7.2%
t 916
7.2%
916
7.2%
A 916
7.2%
v 916
7.2%
i 916
7.2%
b 916
7.2%
e 916
7.2%
Other values (12) 1756
13.8%
Distinct716
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T21:00:47.889947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.706
Min length4

Characters and Unicode

Total characters5706
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique561 ?
Unique (%)56.1%

Sample

1st row686838
2nd row384432
3rd row577534
4th row390878
5th row1601977
ValueCountFrequency (%)
106800 9
 
0.9%
96000 8
 
0.8%
110400 8
 
0.8%
109200 7
 
0.7%
122400 7
 
0.7%
91200 6
 
0.6%
112800 6
 
0.6%
93600 6
 
0.6%
108000 5
 
0.5%
129600 5
 
0.5%
Other values (706) 933
93.3%
2023-12-09T21:00:48.467904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1486
26.0%
1 837
14.7%
2 537
 
9.4%
8 512
 
9.0%
5 487
 
8.5%
6 446
 
7.8%
4 380
 
6.7%
7 361
 
6.3%
9 351
 
6.2%
3 309
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5706
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1486
26.0%
1 837
14.7%
2 537
 
9.4%
8 512
 
9.0%
5 487
 
8.5%
6 446
 
7.8%
4 380
 
6.7%
7 361
 
6.3%
9 351
 
6.2%
3 309
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 5706
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1486
26.0%
1 837
14.7%
2 537
 
9.4%
8 512
 
9.0%
5 487
 
8.5%
6 446
 
7.8%
4 380
 
6.7%
7 361
 
6.3%
9 351
 
6.2%
3 309
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5706
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1486
26.0%
1 837
14.7%
2 537
 
9.4%
8 512
 
9.0%
5 487
 
8.5%
6 446
 
7.8%
4 380
 
6.7%
7 361
 
6.3%
9 351
 
6.2%
3 309
 
5.4%
Distinct717
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T21:00:48.916160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.716
Min length4

Characters and Unicode

Total characters5716
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique563 ?
Unique (%)56.3%

Sample

1st row684986
2nd row384432
3rd row577534
4th row394646
5th row1601977
ValueCountFrequency (%)
106800 9
 
0.9%
96000 8
 
0.8%
110400 8
 
0.8%
122400 7
 
0.7%
109200 7
 
0.7%
91200 6
 
0.6%
93600 6
 
0.6%
112800 6
 
0.6%
99600 5
 
0.5%
108000 5
 
0.5%
Other values (707) 933
93.3%
2023-12-09T21:00:49.457846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1476
25.8%
1 835
14.6%
2 545
 
9.5%
8 505
 
8.8%
5 480
 
8.4%
6 462
 
8.1%
4 393
 
6.9%
7 353
 
6.2%
9 351
 
6.1%
3 312
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5712
99.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1476
25.8%
1 835
14.6%
2 545
 
9.5%
8 505
 
8.8%
5 480
 
8.4%
6 462
 
8.1%
4 393
 
6.9%
7 353
 
6.2%
9 351
 
6.1%
3 312
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5716
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1476
25.8%
1 835
14.6%
2 545
 
9.5%
8 505
 
8.8%
5 480
 
8.4%
6 462
 
8.1%
4 393
 
6.9%
7 353
 
6.2%
9 351
 
6.1%
3 312
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5716
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1476
25.8%
1 835
14.6%
2 545
 
9.5%
8 505
 
8.8%
5 480
 
8.4%
6 462
 
8.1%
4 393
 
6.9%
7 353
 
6.2%
9 351
 
6.1%
3 312
 
5.5%
Distinct716
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size61.4 KiB
2023-12-09T21:00:49.904331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.714
Min length4

Characters and Unicode

Total characters5714
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique561 ?
Unique (%)56.1%

Sample

1st row684986
2nd row384432
3rd row577534
4th row394646
5th row1601977
ValueCountFrequency (%)
106800 9
 
0.9%
110400 8
 
0.8%
96000 8
 
0.8%
122400 7
 
0.7%
109200 7
 
0.7%
93600 6
 
0.6%
112800 6
 
0.6%
91200 6
 
0.6%
99600 5
 
0.5%
97200 5
 
0.5%
Other values (706) 933
93.3%
2023-12-09T21:00:50.497258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1479
25.9%
1 843
14.8%
2 539
 
9.4%
8 510
 
8.9%
5 484
 
8.5%
6 446
 
7.8%
4 386
 
6.8%
7 361
 
6.3%
9 352
 
6.2%
3 310
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5710
99.9%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1479
25.9%
1 843
14.8%
2 539
 
9.4%
8 510
 
8.9%
5 484
 
8.5%
6 446
 
7.8%
4 386
 
6.8%
7 361
 
6.3%
9 352
 
6.2%
3 310
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5714
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1479
25.9%
1 843
14.8%
2 539
 
9.4%
8 510
 
8.9%
5 484
 
8.5%
6 446
 
7.8%
4 386
 
6.8%
7 361
 
6.3%
9 352
 
6.2%
3 310
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5714
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1479
25.9%
1 843
14.8%
2 539
 
9.4%
8 510
 
8.9%
5 484
 
8.5%
6 446
 
7.8%
4 386
 
6.8%
7 361
 
6.3%
9 352
 
6.2%
3 310
 
5.4%
Distinct37
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T21:00:50.761819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.715
Min length4

Characters and Unicode

Total characters12715
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 964
49.1%
available 964
49.1%
35297 1
 
0.1%
81688 1
 
0.1%
19490 1
 
0.1%
10078 1
 
0.1%
4513 1
 
0.1%
22467 1
 
0.1%
50000 1
 
0.1%
11368 1
 
0.1%
Other values (28) 28
 
1.4%
2023-12-09T21:00:51.130677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
o 964
7.6%
b 964
7.6%
i 964
7.6%
e 964
7.6%
v 964
7.6%
A 964
7.6%
964
7.6%
Other values (11) 1147
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9640
75.8%
Uppercase Letter 1928
 
15.2%
Space Separator 964
 
7.6%
Decimal Number 183
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
13.1%
8 23
12.6%
1 20
10.9%
2 20
10.9%
4 20
10.9%
7 19
10.4%
5 16
8.7%
9 14
7.7%
3 14
7.7%
6 13
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 1928
20.0%
l 1928
20.0%
o 964
10.0%
b 964
10.0%
i 964
10.0%
e 964
10.0%
v 964
10.0%
t 964
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 964
50.0%
A 964
50.0%
Space Separator
ValueCountFrequency (%)
964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11568
91.0%
Common 1147
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
964
84.0%
0 24
 
2.1%
8 23
 
2.0%
1 20
 
1.7%
2 20
 
1.7%
4 20
 
1.7%
7 19
 
1.7%
5 16
 
1.4%
9 14
 
1.2%
3 14
 
1.2%
Latin
ValueCountFrequency (%)
a 1928
16.7%
l 1928
16.7%
N 964
8.3%
o 964
8.3%
b 964
8.3%
i 964
8.3%
e 964
8.3%
v 964
8.3%
A 964
8.3%
t 964
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1928
15.2%
l 1928
15.2%
N 964
7.6%
o 964
7.6%
b 964
7.6%
i 964
7.6%
e 964
7.6%
v 964
7.6%
A 964
7.6%
964
7.6%
Other values (11) 1147
9.0%
Distinct643
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T21:00:51.610951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.042
Min length1

Characters and Unicode

Total characters8042
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique630 ?
Unique (%)63.0%

Sample

1st rowNot Available
2nd row7310.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 315
24.0%
available 315
24.0%
0 33
 
2.5%
4917.8 2
 
0.2%
5.6 2
 
0.2%
20972.5 2
 
0.2%
615.5 2
 
0.2%
1857.6 2
 
0.2%
5265.7 2
 
0.2%
842.7 2
 
0.2%
Other values (634) 638
48.5%
2023-12-09T21:00:52.240499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 630
 
7.8%
l 630
 
7.8%
. 578
 
7.2%
1 478
 
5.9%
5 363
 
4.5%
2 358
 
4.5%
4 349
 
4.3%
6 340
 
4.2%
3 324
 
4.0%
o 315
 
3.9%
Other values (12) 3677
45.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3369
41.9%
Lowercase Letter 3150
39.2%
Uppercase Letter 630
 
7.8%
Other Punctuation 578
 
7.2%
Space Separator 315
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 478
14.2%
5 363
10.8%
2 358
10.6%
4 349
10.4%
6 340
10.1%
3 324
9.6%
7 313
9.3%
8 303
9.0%
9 282
8.4%
0 259
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 630
20.0%
l 630
20.0%
o 315
10.0%
b 315
10.0%
i 315
10.0%
v 315
10.0%
t 315
10.0%
e 315
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 315
50.0%
A 315
50.0%
Other Punctuation
ValueCountFrequency (%)
. 578
100.0%
Space Separator
ValueCountFrequency (%)
315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4262
53.0%
Latin 3780
47.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 578
13.6%
1 478
11.2%
5 363
8.5%
2 358
8.4%
4 349
8.2%
6 340
8.0%
3 324
7.6%
315
7.4%
7 313
7.3%
8 303
7.1%
Other values (2) 541
12.7%
Latin
ValueCountFrequency (%)
a 630
16.7%
l 630
16.7%
o 315
8.3%
N 315
8.3%
b 315
8.3%
i 315
8.3%
v 315
8.3%
A 315
8.3%
t 315
8.3%
e 315
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 630
 
7.8%
l 630
 
7.8%
. 578
 
7.2%
1 478
 
5.9%
5 363
 
4.5%
2 358
 
4.5%
4 349
 
4.3%
6 340
 
4.2%
3 324
 
4.0%
o 315
 
3.9%
Other values (12) 3677
45.7%
Distinct632
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T21:00:52.713818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.105
Min length1

Characters and Unicode

Total characters8105
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique619 ?
Unique (%)61.9%

Sample

1st rowNot Available
2nd row7310.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 326
24.6%
available 326
24.6%
0 33
 
2.5%
1857.6 2
 
0.2%
8035.6 2
 
0.2%
1.1 2
 
0.2%
2567.5 2
 
0.2%
842.7 2
 
0.2%
20972.5 2
 
0.2%
615.5 2
 
0.2%
Other values (623) 627
47.3%
2023-12-09T21:00:53.320610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 652
 
8.0%
a 652
 
8.0%
. 566
 
7.0%
1 464
 
5.7%
5 359
 
4.4%
2 348
 
4.3%
4 340
 
4.2%
6 331
 
4.1%
A 326
 
4.0%
v 326
 
4.0%
Other values (12) 3741
46.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3301
40.7%
Lowercase Letter 3260
40.2%
Uppercase Letter 652
 
8.0%
Other Punctuation 566
 
7.0%
Space Separator 326
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 464
14.1%
5 359
10.9%
2 348
10.5%
4 340
10.3%
6 331
10.0%
3 318
9.6%
7 311
9.4%
8 300
9.1%
9 277
8.4%
0 253
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 652
20.0%
a 652
20.0%
v 326
10.0%
i 326
10.0%
b 326
10.0%
e 326
10.0%
o 326
10.0%
t 326
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 326
50.0%
N 326
50.0%
Other Punctuation
ValueCountFrequency (%)
. 566
100.0%
Space Separator
ValueCountFrequency (%)
326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4193
51.7%
Latin 3912
48.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 566
13.5%
1 464
11.1%
5 359
8.6%
2 348
8.3%
4 340
8.1%
6 331
7.9%
326
7.8%
3 318
7.6%
7 311
7.4%
8 300
7.2%
Other values (2) 530
12.6%
Latin
ValueCountFrequency (%)
l 652
16.7%
a 652
16.7%
A 326
8.3%
v 326
8.3%
i 326
8.3%
b 326
8.3%
e 326
8.3%
o 326
8.3%
t 326
8.3%
N 326
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 652
 
8.0%
a 652
 
8.0%
. 566
 
7.0%
1 464
 
5.7%
5 359
 
4.4%
2 348
 
4.3%
4 340
 
4.2%
6 331
 
4.1%
A 326
 
4.0%
v 326
 
4.0%
Other values (12) 3741
46.2%
Distinct610
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size63.1 KiB
2023-12-09T21:00:53.866792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.472
Min length1

Characters and Unicode

Total characters7472
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique578 ?
Unique (%)57.8%

Sample

1st rowNot Available
2nd row19.02
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 326
24.6%
available 326
24.6%
0 34
 
2.6%
0.06 3
 
0.2%
0.01 3
 
0.2%
5.32 2
 
0.2%
51.46 2
 
0.2%
14.6 2
 
0.2%
23056.02 2
 
0.2%
73.26 2
 
0.2%
Other values (601) 624
47.1%
2023-12-09T21:00:54.540103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 652
 
8.7%
a 652
 
8.7%
. 638
 
8.5%
1 389
 
5.2%
N 326
 
4.4%
o 326
 
4.4%
e 326
 
4.4%
b 326
 
4.4%
i 326
 
4.4%
v 326
 
4.4%
Other values (12) 3185
42.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3260
43.6%
Decimal Number 2596
34.7%
Uppercase Letter 652
 
8.7%
Other Punctuation 638
 
8.5%
Space Separator 326
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 389
15.0%
2 303
11.7%
4 268
10.3%
3 266
10.2%
8 254
9.8%
5 253
9.7%
6 251
9.7%
7 239
9.2%
0 190
7.3%
9 183
7.0%
Lowercase Letter
ValueCountFrequency (%)
l 652
20.0%
a 652
20.0%
o 326
10.0%
e 326
10.0%
b 326
10.0%
i 326
10.0%
v 326
10.0%
t 326
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 326
50.0%
A 326
50.0%
Other Punctuation
ValueCountFrequency (%)
. 638
100.0%
Space Separator
ValueCountFrequency (%)
326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3912
52.4%
Common 3560
47.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 638
17.9%
1 389
10.9%
326
9.2%
2 303
8.5%
4 268
7.5%
3 266
7.5%
8 254
 
7.1%
5 253
 
7.1%
6 251
 
7.1%
7 239
 
6.7%
Other values (2) 373
10.5%
Latin
ValueCountFrequency (%)
l 652
16.7%
a 652
16.7%
N 326
8.3%
o 326
8.3%
e 326
8.3%
b 326
8.3%
i 326
8.3%
v 326
8.3%
A 326
8.3%
t 326
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 652
 
8.7%
a 652
 
8.7%
. 638
 
8.5%
1 389
 
5.2%
N 326
 
4.4%
o 326
 
4.4%
e 326
 
4.4%
b 326
 
4.4%
i 326
 
4.4%
v 326
 
4.4%
Other values (12) 3185
42.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:54.740274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:55.026824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T21:00:55.232588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.934
Min length6

Characters and Unicode

Total characters12934
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
22643.2 1
 
0.1%
12476.9 1
 
0.1%
2843.1 1
 
0.1%
26628.1 1
 
0.1%
14018.5 1
 
0.1%
15707.8 1
 
0.1%
16684.5 1
 
0.1%
16305.4 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T21:00:55.570169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.6%
t 989
7.6%
989
7.6%
A 989
7.6%
v 989
7.6%
i 989
7.6%
b 989
7.6%
e 989
7.6%
Other values (12) 1066
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.5%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.6%
Decimal Number 66
 
0.5%
Other Punctuation 11
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
24.2%
4 9
13.6%
6 8
12.1%
2 7
10.6%
5 7
10.6%
8 5
 
7.6%
0 5
 
7.6%
3 4
 
6.1%
7 3
 
4.5%
9 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
t 989
10.0%
v 989
10.0%
i 989
10.0%
b 989
10.0%
e 989
10.0%
o 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%
Other Punctuation
ValueCountFrequency (%)
. 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
91.8%
Common 1066
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
989
92.8%
1 16
 
1.5%
. 11
 
1.0%
4 9
 
0.8%
6 8
 
0.8%
2 7
 
0.7%
5 7
 
0.7%
8 5
 
0.5%
0 5
 
0.5%
3 4
 
0.4%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
t 989
8.3%
A 989
8.3%
v 989
8.3%
i 989
8.3%
b 989
8.3%
e 989
8.3%
o 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.6%
t 989
7.6%
989
7.6%
A 989
7.6%
v 989
7.6%
i 989
7.6%
b 989
7.6%
e 989
7.6%
Other values (12) 1066
8.2%
Distinct640
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T21:00:56.045344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.062
Min length1

Characters and Unicode

Total characters8062
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique627 ?
Unique (%)62.7%

Sample

1st rowNot Available
2nd row7310.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 318
24.1%
available 318
24.1%
0 33
 
2.5%
615.5 2
 
0.2%
4917.8 2
 
0.2%
5265.7 2
 
0.2%
1857.6 2
 
0.2%
8035.6 2
 
0.2%
1.7 2
 
0.2%
5.6 2
 
0.2%
Other values (631) 635
48.2%
2023-12-09T21:00:56.686000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 636
 
7.9%
l 636
 
7.9%
. 575
 
7.1%
1 476
 
5.9%
5 361
 
4.5%
2 357
 
4.4%
4 346
 
4.3%
6 338
 
4.2%
3 322
 
4.0%
o 318
 
3.9%
Other values (12) 3697
45.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3353
41.6%
Lowercase Letter 3180
39.4%
Uppercase Letter 636
 
7.9%
Other Punctuation 575
 
7.1%
Space Separator 318
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 476
14.2%
5 361
10.8%
2 357
10.6%
4 346
10.3%
6 338
10.1%
3 322
9.6%
7 312
9.3%
8 302
9.0%
9 280
8.4%
0 259
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 636
20.0%
l 636
20.0%
o 318
10.0%
e 318
10.0%
b 318
10.0%
i 318
10.0%
v 318
10.0%
t 318
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 318
50.0%
A 318
50.0%
Other Punctuation
ValueCountFrequency (%)
. 575
100.0%
Space Separator
ValueCountFrequency (%)
318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4246
52.7%
Latin 3816
47.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 575
13.5%
1 476
11.2%
5 361
8.5%
2 357
8.4%
4 346
8.1%
6 338
8.0%
3 322
7.6%
318
7.5%
7 312
7.3%
8 302
7.1%
Other values (2) 539
12.7%
Latin
ValueCountFrequency (%)
a 636
16.7%
l 636
16.7%
o 318
8.3%
N 318
8.3%
e 318
8.3%
b 318
8.3%
i 318
8.3%
v 318
8.3%
A 318
8.3%
t 318
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8062
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 636
 
7.9%
l 636
 
7.9%
. 575
 
7.1%
1 476
 
5.9%
5 361
 
4.5%
2 357
 
4.4%
4 346
 
4.3%
6 338
 
4.2%
3 322
 
4.0%
o 318
 
3.9%
Other values (12) 3697
45.9%
Distinct631
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size63.7 KiB
2023-12-09T21:00:57.205840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.114
Min length1

Characters and Unicode

Total characters8114
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)61.8%

Sample

1st rowNot Available
2nd row7310.6
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 327
24.6%
available 327
24.6%
0 33
 
2.5%
8035.6 2
 
0.2%
4917.8 2
 
0.2%
842.7 2
 
0.2%
1857.6 2
 
0.2%
615.5 2
 
0.2%
1.7 2
 
0.2%
5.6 2
 
0.2%
Other values (622) 626
47.2%
2023-12-09T21:00:57.875575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 654
 
8.1%
l 654
 
8.1%
. 566
 
7.0%
1 464
 
5.7%
5 357
 
4.4%
2 348
 
4.3%
4 338
 
4.2%
6 331
 
4.1%
e 327
 
4.0%
o 327
 
4.0%
Other values (12) 3748
46.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3297
40.6%
Lowercase Letter 3270
40.3%
Uppercase Letter 654
 
8.1%
Other Punctuation 566
 
7.0%
Space Separator 327
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 464
14.1%
5 357
10.8%
2 348
10.6%
4 338
10.3%
6 331
10.0%
3 318
9.6%
7 311
9.4%
8 300
9.1%
9 277
8.4%
0 253
7.7%
Lowercase Letter
ValueCountFrequency (%)
a 654
20.0%
l 654
20.0%
e 327
10.0%
o 327
10.0%
b 327
10.0%
i 327
10.0%
v 327
10.0%
t 327
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 327
50.0%
A 327
50.0%
Other Punctuation
ValueCountFrequency (%)
. 566
100.0%
Space Separator
ValueCountFrequency (%)
327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4190
51.6%
Latin 3924
48.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 566
13.5%
1 464
11.1%
5 357
8.5%
2 348
8.3%
4 338
8.1%
6 331
7.9%
327
7.8%
3 318
7.6%
7 311
7.4%
8 300
7.2%
Other values (2) 530
12.6%
Latin
ValueCountFrequency (%)
a 654
16.7%
l 654
16.7%
e 327
8.3%
o 327
8.3%
N 327
8.3%
b 327
8.3%
i 327
8.3%
v 327
8.3%
A 327
8.3%
t 327
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 654
 
8.1%
l 654
 
8.1%
. 566
 
7.0%
1 464
 
5.7%
5 357
 
4.4%
2 348
 
4.3%
4 338
 
4.2%
6 331
 
4.1%
e 327
 
4.0%
o 327
 
4.0%
Other values (12) 3748
46.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:58.108490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T21:00:58.443975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct620
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Memory size63.0 KiB
2023-12-09T21:00:58.986316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.384
Min length1

Characters and Unicode

Total characters7384
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique587 ?
Unique (%)58.7%

Sample

1st rowNot Available
2nd row19.02
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 315
24.0%
available 315
24.0%
0 34
 
2.6%
0.01 3
 
0.2%
0.06 3
 
0.2%
0.34 2
 
0.2%
48.4 2
 
0.2%
18.39 2
 
0.2%
53.21 2
 
0.2%
33.38 2
 
0.2%
Other values (611) 635
48.3%
2023-12-09T21:00:59.660338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 649
 
8.8%
a 630
 
8.5%
l 630
 
8.5%
1 399
 
5.4%
N 315
 
4.3%
t 315
 
4.3%
315
 
4.3%
A 315
 
4.3%
v 315
 
4.3%
i 315
 
4.3%
Other values (12) 3186
43.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3150
42.7%
Decimal Number 2640
35.8%
Other Punctuation 649
 
8.8%
Uppercase Letter 630
 
8.5%
Space Separator 315
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 399
15.1%
2 310
11.7%
3 276
10.5%
4 270
10.2%
8 260
9.8%
5 256
9.7%
6 253
9.6%
7 239
9.1%
0 192
7.3%
9 185
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 630
20.0%
l 630
20.0%
t 315
10.0%
v 315
10.0%
i 315
10.0%
b 315
10.0%
e 315
10.0%
o 315
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 315
50.0%
A 315
50.0%
Other Punctuation
ValueCountFrequency (%)
. 649
100.0%
Space Separator
ValueCountFrequency (%)
315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3780
51.2%
Common 3604
48.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 649
18.0%
1 399
11.1%
315
8.7%
2 310
8.6%
3 276
7.7%
4 270
7.5%
8 260
7.2%
5 256
 
7.1%
6 253
 
7.0%
7 239
 
6.6%
Other values (2) 377
10.5%
Latin
ValueCountFrequency (%)
a 630
16.7%
l 630
16.7%
N 315
8.3%
t 315
8.3%
A 315
8.3%
v 315
8.3%
i 315
8.3%
b 315
8.3%
e 315
8.3%
o 315
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 649
 
8.8%
a 630
 
8.5%
l 630
 
8.5%
1 399
 
5.4%
N 315
 
4.3%
t 315
 
4.3%
315
 
4.3%
A 315
 
4.3%
v 315
 
4.3%
i 315
 
4.3%
Other values (12) 3186
43.1%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:00:59.845379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.973
Min length4

Characters and Unicode

Total characters12973
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
leed 3
 
0.2%
2023-12-09T21:01:00.137067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (4) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 2006
 
15.5%
Space Separator 997
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
t 997
10.0%
v 997
10.0%
i 997
10.0%
b 997
10.0%
e 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
49.7%
A 997
49.7%
E 6
 
0.3%
L 3
 
0.1%
D 3
 
0.1%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 997
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.6%
l 1994
16.6%
N 997
8.3%
o 997
8.3%
t 997
8.3%
A 997
8.3%
v 997
8.3%
i 997
8.3%
b 997
8.3%
e 997
8.3%
Other values (3) 12
 
0.1%
Common
ValueCountFrequency (%)
997
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
t 997
7.7%
997
7.7%
A 997
7.7%
v 997
7.7%
i 997
7.7%
b 997
7.7%
Other values (4) 1009
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:01:00.316725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length10

Characters and Unicode

Total characters12991
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
05/16/2016 1
 
0.1%
07/01/2011 1
 
0.1%
12/19/2011 1
 
0.1%
2023-12-09T21:01:00.622826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.7%
Uppercase Letter 1994
 
15.3%
Space Separator 997
 
7.7%
Decimal Number 24
 
0.2%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 9
37.5%
0 6
25.0%
2 4
16.7%
6 2
 
8.3%
5 1
 
4.2%
7 1
 
4.2%
9 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1027
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.1%
1 9
 
0.9%
0 6
 
0.6%
/ 6
 
0.6%
2 4
 
0.4%
6 2
 
0.2%
5 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1027
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T21:01:00.802061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length10

Characters and Unicode

Total characters12991
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
05/16/2016 1
 
0.1%
07/01/2011 1
 
0.1%
12/19/2011 1
 
0.1%
2023-12-09T21:01:01.107059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.7%
Uppercase Letter 1994
 
15.3%
Space Separator 997
 
7.7%
Decimal Number 24
 
0.2%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 9
37.5%
0 6
25.0%
2 4
16.7%
6 2
 
8.3%
5 1
 
4.2%
7 1
 
4.2%
9 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1027
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.1%
1 9
 
0.9%
0 6
 
0.6%
/ 6
 
0.6%
2 4
 
0.4%
6 2
 
0.2%
5 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (9) 1027
7.9%
Distinct284
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:01:01.385493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique246 ?
Unique (%)24.6%

Sample

1st row05/26/2020 06:19 AM EDT
2nd row05/26/2020 06:31 AM EDT
3rd row05/18/2020 05:34 AM EDT
4th row05/18/2020 05:50 AM EDT
5th row05/26/2020 07:00 AM EDT
ValueCountFrequency (%)
edt 991
24.8%
pm 923
23.1%
08/17/2020 237
 
5.9%
08/11/2020 173
 
4.3%
08/12/2020 156
 
3.9%
09:16 138
 
3.5%
05:35 130
 
3.2%
05/01/2020 126
 
3.1%
03:49 85
 
2.1%
am 77
 
1.9%
Other values (316) 964
24.1%
2023-12-09T21:01:01.785652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4308
18.7%
3000
13.0%
2 2496
10.9%
/ 2000
8.7%
1 1499
 
6.5%
E 1000
 
4.3%
T 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
D 991
 
4.3%
Other values (10) 4706
20.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4308
35.9%
2 2496
20.8%
1 1499
 
12.5%
8 898
 
7.5%
5 733
 
6.1%
4 605
 
5.0%
3 428
 
3.6%
7 370
 
3.1%
9 359
 
3.0%
6 304
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
E 1000
20.0%
T 1000
20.0%
M 1000
20.0%
D 991
19.8%
P 923
18.5%
A 77
 
1.5%
S 9
 
0.2%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4308
23.9%
3000
16.7%
2 2496
13.9%
/ 2000
11.1%
1 1499
 
8.3%
: 1000
 
5.6%
8 898
 
5.0%
5 733
 
4.1%
4 605
 
3.4%
3 428
 
2.4%
Other values (3) 1033
 
5.7%
Latin
ValueCountFrequency (%)
E 1000
20.0%
T 1000
20.0%
M 1000
20.0%
D 991
19.8%
P 923
18.5%
A 77
 
1.5%
S 9
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4308
18.7%
3000
13.0%
2 2496
10.9%
/ 2000
8.7%
1 1499
 
6.5%
E 1000
 
4.3%
T 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
D 991
 
4.3%
Other values (10) 4706
20.5%
Distinct219
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:01:02.031258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.99
Min length13

Characters and Unicode

Total characters22990
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)19.5%

Sample

1st row04/29/2020 01:07 PM EDT
2nd row04/29/2020 01:07 PM EDT
3rd row04/29/2020 01:05 PM EDT
4th row04/29/2020 01:07 PM EDT
5th row05/26/2020 07:00 AM EDT
ValueCountFrequency (%)
edt 975
24.4%
pm 839
21.0%
04/10/2020 270
 
6.8%
04/17/2020 230
 
5.8%
am 160
 
4.0%
04/14/2020 157
 
3.9%
04/13/2020 137
 
3.4%
04:27 115
 
2.9%
05:35 95
 
2.4%
05:46 75
 
1.9%
Other values (282) 945
23.6%
2023-12-09T21:01:02.387144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4223
18.4%
2998
13.0%
2 2676
11.6%
/ 1998
8.7%
4 1431
 
6.2%
1 1284
 
5.6%
: 999
 
4.3%
M 999
 
4.3%
E 999
 
4.3%
T 999
 
4.3%
Other values (19) 4384
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11988
52.1%
Uppercase Letter 4997
21.7%
Space Separator 2998
 
13.0%
Other Punctuation 2997
 
13.0%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4223
35.2%
2 2676
22.3%
4 1431
 
11.9%
1 1284
 
10.7%
5 633
 
5.3%
3 619
 
5.2%
7 554
 
4.6%
8 269
 
2.2%
6 212
 
1.8%
9 87
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
M 999
20.0%
E 999
20.0%
T 999
20.0%
D 975
19.5%
P 839
16.8%
A 161
 
3.2%
S 24
 
0.5%
N 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
l 2
20.0%
o 1
10.0%
t 1
10.0%
v 1
10.0%
i 1
10.0%
b 1
10.0%
e 1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1998
66.7%
: 999
33.3%
Space Separator
ValueCountFrequency (%)
2998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17983
78.2%
Latin 5007
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 999
20.0%
E 999
20.0%
T 999
20.0%
D 975
19.5%
P 839
16.8%
A 161
 
3.2%
S 24
 
0.5%
a 2
 
< 0.1%
l 2
 
< 0.1%
N 1
 
< 0.1%
Other values (6) 6
 
0.1%
Common
ValueCountFrequency (%)
0 4223
23.5%
2998
16.7%
2 2676
14.9%
/ 1998
11.1%
4 1431
 
8.0%
1 1284
 
7.1%
: 999
 
5.6%
5 633
 
3.5%
3 619
 
3.4%
7 554
 
3.1%
Other values (3) 568
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4223
18.4%
2998
13.0%
2 2676
11.6%
/ 1998
8.7%
4 1431
 
6.2%
1 1284
 
5.6%
: 999
 
4.3%
M 999
 
4.3%
E 999
 
4.3%
T 999
 
4.3%
Other values (19) 4384
19.1%
Distinct131
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size77.7 KiB
2023-12-09T21:01:02.624237image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.46
Min length13

Characters and Unicode

Total characters22460
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)10.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row04/29/2020 01:07 PM EDT
4th row04/29/2020 01:05 PM EDT
5th row04/29/2020 01:05 PM EDT
ValueCountFrequency (%)
edt 926
23.8%
pm 808
20.8%
04/13/2020 272
 
7.0%
04/17/2020 244
 
6.3%
04/14/2020 165
 
4.2%
04/10/2020 153
 
3.9%
am 138
 
3.5%
05:35 92
 
2.4%
12:54 78
 
2.0%
05:46 78
 
2.0%
Other values (172) 938
24.1%
2023-12-09T21:01:02.970543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3837
17.1%
2892
12.9%
2 2554
11.4%
/ 1892
 
8.4%
4 1313
 
5.8%
1 1245
 
5.5%
: 946
 
4.2%
M 946
 
4.2%
E 946
 
4.2%
T 946
 
4.2%
Other values (19) 4943
22.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11352
50.5%
Uppercase Letter 4838
21.5%
Space Separator 2892
 
12.9%
Other Punctuation 2838
 
12.6%
Lowercase Letter 540
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3837
33.8%
2 2554
22.5%
4 1313
 
11.6%
1 1245
 
11.0%
3 849
 
7.5%
5 593
 
5.2%
7 504
 
4.4%
6 231
 
2.0%
8 182
 
1.6%
9 44
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 946
19.6%
E 946
19.6%
T 946
19.6%
D 926
19.1%
P 808
16.7%
A 192
 
4.0%
N 54
 
1.1%
S 20
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 108
20.0%
l 108
20.0%
o 54
10.0%
t 54
10.0%
v 54
10.0%
i 54
10.0%
b 54
10.0%
e 54
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1892
66.7%
: 946
33.3%
Space Separator
ValueCountFrequency (%)
2892
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17082
76.1%
Latin 5378
 
23.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 946
17.6%
E 946
17.6%
T 946
17.6%
D 926
17.2%
P 808
15.0%
A 192
 
3.6%
a 108
 
2.0%
l 108
 
2.0%
N 54
 
1.0%
o 54
 
1.0%
Other values (6) 290
 
5.4%
Common
ValueCountFrequency (%)
0 3837
22.5%
2892
16.9%
2 2554
15.0%
/ 1892
11.1%
4 1313
 
7.7%
1 1245
 
7.3%
: 946
 
5.5%
3 849
 
5.0%
5 593
 
3.5%
7 504
 
3.0%
Other values (3) 457
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3837
17.1%
2892
12.9%
2 2554
11.4%
/ 1892
 
8.4%
4 1313
 
5.8%
1 1245
 
5.5%
: 946
 
4.2%
M 946
 
4.2%
E 946
 
4.2%
T 946
 
4.2%
Other values (19) 4943
22.0%
Distinct165
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size77.2 KiB
2023-12-09T21:01:03.211065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.92
Min length13

Characters and Unicode

Total characters21920
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)14.4%

Sample

1st row05/18/2020 05:46 AM EDT
2nd row05/26/2020 06:31 AM EDT
3rd row05/18/2020 05:34 AM EDT
4th row05/18/2020 05:50 AM EDT
5th row05/18/2020 05:53 AM EDT
ValueCountFrequency (%)
edt 871
23.0%
pm 741
19.6%
04/13/2020 237
 
6.3%
04/17/2020 229
 
6.1%
am 151
 
4.0%
04/10/2020 148
 
3.9%
04/14/2020 139
 
3.7%
not 108
 
2.9%
available 108
 
2.9%
05:35 86
 
2.3%
Other values (223) 966
25.5%
2023-12-09T21:01:03.557292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3661
16.7%
2784
12.7%
2 2414
11.0%
/ 1784
 
8.1%
4 1196
 
5.5%
1 1156
 
5.3%
M 892
 
4.1%
: 892
 
4.1%
E 892
 
4.1%
T 892
 
4.1%
Other values (19) 5357
24.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10704
48.8%
Uppercase Letter 4676
21.3%
Space Separator 2784
 
12.7%
Other Punctuation 2676
 
12.2%
Lowercase Letter 1080
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3661
34.2%
2 2414
22.6%
4 1196
 
11.2%
1 1156
 
10.8%
3 805
 
7.5%
5 579
 
5.4%
7 472
 
4.4%
6 222
 
2.1%
8 133
 
1.2%
9 66
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
M 892
19.1%
E 892
19.1%
T 892
19.1%
D 871
18.6%
P 741
15.8%
A 259
 
5.5%
N 108
 
2.3%
S 21
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
l 216
20.0%
a 216
20.0%
o 108
10.0%
e 108
10.0%
b 108
10.0%
i 108
10.0%
v 108
10.0%
t 108
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1784
66.7%
: 892
33.3%
Space Separator
ValueCountFrequency (%)
2784
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16164
73.7%
Latin 5756
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 892
15.5%
E 892
15.5%
T 892
15.5%
D 871
15.1%
P 741
12.9%
A 259
 
4.5%
l 216
 
3.8%
a 216
 
3.8%
N 108
 
1.9%
o 108
 
1.9%
Other values (6) 561
9.7%
Common
ValueCountFrequency (%)
0 3661
22.6%
2784
17.2%
2 2414
14.9%
/ 1784
11.0%
4 1196
 
7.4%
1 1156
 
7.2%
: 892
 
5.5%
3 805
 
5.0%
5 579
 
3.6%
7 472
 
2.9%
Other values (3) 421
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3661
16.7%
2784
12.7%
2 2414
11.0%
/ 1784
 
8.1%
4 1196
 
5.5%
1 1156
 
5.3%
M 892
 
4.1%
: 892
 
4.1%
E 892
 
4.1%
T 892
 
4.1%
Other values (19) 5357
24.4%
Distinct147
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size75.3 KiB
2023-12-09T21:01:03.788698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length20
Min length13

Characters and Unicode

Total characters20000
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)13.5%

Sample

1st rowNot Available
2nd row03/03/2020 05:46 PM EST
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
edt 675
19.9%
pm 664
19.5%
05/01/2020 576
16.9%
not 300
8.8%
available 300
8.8%
05:54 95
 
2.8%
05:48 95
 
2.8%
05:14 94
 
2.8%
09:14 82
 
2.4%
05:06 55
 
1.6%
Other values (204) 464
13.6%
2023-12-09T21:01:04.133044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3543
17.7%
2400
 
12.0%
2 1603
 
8.0%
/ 1400
 
7.0%
5 1257
 
6.3%
1 918
 
4.6%
: 700
 
3.5%
T 700
 
3.5%
E 700
 
3.5%
M 700
 
3.5%
Other values (19) 6079
30.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8400
42.0%
Uppercase Letter 4100
20.5%
Lowercase Letter 3000
 
15.0%
Space Separator 2400
 
12.0%
Other Punctuation 2100
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3543
42.2%
2 1603
19.1%
5 1257
 
15.0%
1 918
 
10.9%
4 459
 
5.5%
8 183
 
2.2%
9 175
 
2.1%
6 104
 
1.2%
3 86
 
1.0%
7 72
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
T 700
17.1%
E 700
17.1%
M 700
17.1%
D 675
16.5%
P 664
16.2%
A 336
8.2%
N 300
7.3%
S 25
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
a 600
20.0%
l 600
20.0%
o 300
10.0%
e 300
10.0%
b 300
10.0%
i 300
10.0%
v 300
10.0%
t 300
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 1400
66.7%
: 700
33.3%
Space Separator
ValueCountFrequency (%)
2400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12900
64.5%
Latin 7100
35.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 700
9.9%
E 700
9.9%
M 700
9.9%
D 675
9.5%
P 664
9.4%
a 600
 
8.5%
l 600
 
8.5%
A 336
 
4.7%
N 300
 
4.2%
o 300
 
4.2%
Other values (6) 1525
21.5%
Common
ValueCountFrequency (%)
0 3543
27.5%
2400
18.6%
2 1603
12.4%
/ 1400
 
10.9%
5 1257
 
9.7%
1 918
 
7.1%
: 700
 
5.4%
4 459
 
3.6%
8 183
 
1.4%
9 175
 
1.4%
Other values (3) 262
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3543
17.7%
2400
 
12.0%
2 1603
 
8.0%
/ 1400
 
7.0%
5 1257
 
6.3%
1 918
 
4.6%
: 700
 
3.5%
T 700
 
3.5%
E 700
 
3.5%
M 700
 
3.5%
Other values (19) 6079
30.4%
Distinct373
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:01:04.393934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)18.0%

Sample

1st row2020-05-28T04:27:22.000
2nd row2020-05-28T04:27:23.000
3rd row2020-05-28T04:27:23.000
4th row2020-05-28T04:27:24.000
5th row2020-05-28T04:27:25.000
ValueCountFrequency (%)
2020-08-28t16:18:09.000 10
 
1.0%
2020-08-28t16:16:05.000 10
 
1.0%
2020-08-28t16:16:06.000 10
 
1.0%
2020-08-28t16:16:08.000 9
 
0.9%
2020-08-28t16:18:31.000 9
 
0.9%
2020-08-28t16:17:20.000 9
 
0.9%
2020-08-28t16:17:19.000 9
 
0.9%
2020-08-28t16:17:29.000 9
 
0.9%
2020-08-28t16:16:22.000 9
 
0.9%
2020-08-28t16:18:08.000 9
 
0.9%
Other values (363) 907
90.7%
2023-12-09T21:01:04.782194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6561
28.5%
2 3302
14.4%
1 2247
 
9.8%
- 2000
 
8.7%
: 2000
 
8.7%
8 1838
 
8.0%
6 1115
 
4.8%
T 1000
 
4.3%
. 1000
 
4.3%
4 471
 
2.0%
Other values (4) 1466
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6561
38.6%
2 3302
19.4%
1 2247
 
13.2%
8 1838
 
10.8%
6 1115
 
6.6%
4 471
 
2.8%
7 463
 
2.7%
5 454
 
2.7%
3 383
 
2.3%
9 166
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6561
29.8%
2 3302
15.0%
1 2247
 
10.2%
- 2000
 
9.1%
: 2000
 
9.1%
8 1838
 
8.4%
6 1115
 
5.1%
. 1000
 
4.5%
4 471
 
2.1%
7 463
 
2.1%
Other values (3) 1003
 
4.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6561
28.5%
2 3302
14.4%
1 2247
 
9.8%
- 2000
 
8.7%
: 2000
 
8.7%
8 1838
 
8.0%
6 1115
 
4.8%
T 1000
 
4.3%
. 1000
 
4.3%
4 471
 
2.0%
Other values (4) 1466
 
6.4%
Distinct97
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T21:01:05.024953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)7.4%

Sample

1st row2020-05-28T11:31:28.000
2nd row2020-05-28T11:31:28.000
3rd row2020-05-28T11:31:28.000
4th row2020-05-28T11:31:28.000
5th row2020-05-28T11:31:28.000
ValueCountFrequency (%)
2020-08-28t16:28:36.000 731
73.1%
2020-05-01t21:54:16.000 123
 
12.3%
2020-05-28t14:22:11.000 6
 
0.6%
2020-05-28t11:31:28.000 6
 
0.6%
2020-05-28t15:58:20.000 6
 
0.6%
2020-09-01t09:23:22.000 5
 
0.5%
2020-05-15t14:21:09.000 5
 
0.5%
2020-05-01t15:55:43.000 4
 
0.4%
2020-10-28t14:28:11.000 4
 
0.4%
2020-05-01t17:56:06.000 4
 
0.4%
Other values (87) 106
 
10.6%
2023-12-09T21:01:05.393109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6281
27.3%
2 3768
16.4%
8 2271
 
9.9%
- 2000
 
8.7%
: 2000
 
8.7%
6 1642
 
7.1%
1 1407
 
6.1%
T 1000
 
4.3%
. 1000
 
4.3%
3 838
 
3.6%
Other values (4) 793
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6281
36.9%
2 3768
22.2%
8 2271
 
13.4%
6 1642
 
9.7%
1 1407
 
8.3%
3 838
 
4.9%
5 398
 
2.3%
4 229
 
1.3%
7 99
 
0.6%
9 67
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6281
28.5%
2 3768
17.1%
8 2271
 
10.3%
- 2000
 
9.1%
: 2000
 
9.1%
6 1642
 
7.5%
1 1407
 
6.4%
. 1000
 
4.5%
3 838
 
3.8%
5 398
 
1.8%
Other values (3) 395
 
1.8%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6281
27.3%
2 3768
16.4%
8 2271
 
9.9%
- 2000
 
8.7%
: 2000
 
8.7%
6 1642
 
7.1%
1 1407
 
6.1%
T 1000
 
4.3%
. 1000
 
4.3%
3 838
 
3.6%
Other values (4) 793
 
3.4%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing17
Missing (%)1.7%
Memory size62.4 KiB
2023-12-09T21:01:05.566903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.330620549
Min length5

Characters and Unicode

Total characters7206
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
brooklyn 282
27.2%
manhattan 252
24.3%
queens 225
21.7%
bronx 171
16.5%
staten 53
 
5.1%
is 53
 
5.1%
2023-12-09T21:01:05.875743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1235
17.1%
A 809
11.2%
O 735
10.2%
T 610
8.5%
E 503
 
7.0%
B 453
 
6.3%
R 453
 
6.3%
S 331
 
4.6%
K 282
 
3.9%
L 282
 
3.9%
Other values (8) 1513
21.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7153
99.3%
Space Separator 53
 
0.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1235
17.3%
A 809
11.3%
O 735
10.3%
T 610
8.5%
E 503
 
7.0%
B 453
 
6.3%
R 453
 
6.3%
S 331
 
4.6%
K 282
 
3.9%
L 282
 
3.9%
Other values (7) 1460
20.4%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7153
99.3%
Common 53
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1235
17.3%
A 809
11.3%
O 735
10.3%
T 610
8.5%
E 503
 
7.0%
B 453
 
6.3%
R 453
 
6.3%
S 331
 
4.6%
K 282
 
3.9%
L 282
 
3.9%
Other values (7) 1460
20.4%
Common
ValueCountFrequency (%)
53
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1235
17.1%
A 809
11.2%
O 735
10.2%
T 610
8.5%
E 503
 
7.0%
B 453
 
6.3%
R 453
 
6.3%
S 331
 
4.6%
K 282
 
3.9%
L 282
 
3.9%
Other values (8) 1513
21.0%

latitude
Text

MISSING 

Distinct977
Distinct (%)99.4%
Missing17
Missing (%)1.7%
Memory size63.9 KiB
2023-12-09T21:01:06.250677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.87792472
Min length7

Characters and Unicode

Total characters8727
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique971 ?
Unique (%)98.8%

Sample

1st row40.756631
2nd row40.750698
3rd row40.75831
4th row40.753074
5th row40.756181
ValueCountFrequency (%)
40.676094 2
 
0.2%
40.697781 2
 
0.2%
40.746704 2
 
0.2%
40.742093 2
 
0.2%
40.720924 2
 
0.2%
40.762621 2
 
0.2%
40.688387 1
 
0.1%
40.54438 1
 
0.1%
40.685695 1
 
0.1%
40.710624 1
 
0.1%
Other values (967) 967
98.4%
2023-12-09T21:01:06.789528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1482
17.0%
0 1378
15.8%
. 983
11.3%
7 890
10.2%
6 791
9.1%
8 677
7.8%
5 614
7.0%
1 499
 
5.7%
2 481
 
5.5%
3 481
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7744
88.7%
Other Punctuation 983
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1482
19.1%
0 1378
17.8%
7 890
11.5%
6 791
10.2%
8 677
8.7%
5 614
7.9%
1 499
 
6.4%
2 481
 
6.2%
3 481
 
6.2%
9 451
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8727
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1482
17.0%
0 1378
15.8%
. 983
11.3%
7 890
10.2%
6 791
9.1%
8 677
7.8%
5 614
7.0%
1 499
 
5.7%
2 481
 
5.5%
3 481
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8727
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1482
17.0%
0 1378
15.8%
. 983
11.3%
7 890
10.2%
6 791
9.1%
8 677
7.8%
5 614
7.0%
1 499
 
5.7%
2 481
 
5.5%
3 481
 
5.5%

longitude
Text

MISSING 

Distinct978
Distinct (%)99.5%
Missing17
Missing (%)1.7%
Memory size64.9 KiB
2023-12-09T21:01:07.163858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.905391658
Min length7

Characters and Unicode

Total characters9737
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique973 ?
Unique (%)99.0%

Sample

1st row-73.982826
2nd row-73.974306
3rd row-73.982504
4th row-73.972753
5th row-73.986244
ValueCountFrequency (%)
73.998528 2
 
0.2%
73.973128 2
 
0.2%
73.942548 2
 
0.2%
73.943476 2
 
0.2%
73.860904 2
 
0.2%
73.823362 1
 
0.1%
74.012289 1
 
0.1%
73.921006 1
 
0.1%
73.891116 1
 
0.1%
73.920782 1
 
0.1%
Other values (968) 968
98.5%
2023-12-09T21:01:07.669381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1588
16.3%
3 1381
14.2%
9 1041
10.7%
- 983
10.1%
. 983
10.1%
8 754
7.7%
4 598
 
6.1%
1 505
 
5.2%
6 499
 
5.1%
2 475
 
4.9%
Other values (2) 930
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7771
79.8%
Dash Punctuation 983
 
10.1%
Other Punctuation 983
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1588
20.4%
3 1381
17.8%
9 1041
13.4%
8 754
9.7%
4 598
 
7.7%
1 505
 
6.5%
6 499
 
6.4%
2 475
 
6.1%
5 467
 
6.0%
0 463
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 983
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9737
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1588
16.3%
3 1381
14.2%
9 1041
10.7%
- 983
10.1%
. 983
10.1%
8 754
7.7%
4 598
 
6.1%
1 505
 
5.2%
6 499
 
5.1%
2 475
 
4.9%
Other values (2) 930
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1588
16.3%
3 1381
14.2%
9 1041
10.7%
- 983
10.1%
. 983
10.1%
8 754
7.7%
4 598
 
6.1%
1 505
 
5.2%
6 499
 
5.1%
2 475
 
4.9%
Other values (2) 930
9.6%

community_board
Text

MISSING 

Distinct60
Distinct (%)6.1%
Missing17
Missing (%)1.7%
Memory size58.3 KiB
2023-12-09T21:01:07.948426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2949
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row105
2nd row106
3rd row105
4th row106
5th row105
ValueCountFrequency (%)
105 62
 
6.3%
303 30
 
3.1%
305 27
 
2.7%
412 26
 
2.6%
106 26
 
2.6%
103 24
 
2.4%
112 23
 
2.3%
401 23
 
2.3%
408 22
 
2.2%
111 22
 
2.2%
Other values (50) 698
71.0%
2023-12-09T21:01:08.345105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 742
25.2%
1 704
23.9%
3 416
14.1%
2 314
10.6%
4 292
 
9.9%
5 186
 
6.3%
6 94
 
3.2%
7 78
 
2.6%
8 70
 
2.4%
9 53
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2949
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 742
25.2%
1 704
23.9%
3 416
14.1%
2 314
10.6%
4 292
 
9.9%
5 186
 
6.3%
6 94
 
3.2%
7 78
 
2.6%
8 70
 
2.4%
9 53
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 2949
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 742
25.2%
1 704
23.9%
3 416
14.1%
2 314
10.6%
4 292
 
9.9%
5 186
 
6.3%
6 94
 
3.2%
7 78
 
2.6%
8 70
 
2.4%
9 53
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2949
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 742
25.2%
1 704
23.9%
3 416
14.1%
2 314
10.6%
4 292
 
9.9%
5 186
 
6.3%
6 94
 
3.2%
7 78
 
2.6%
8 70
 
2.4%
9 53
 
1.8%

council_district
Text

MISSING 

Distinct51
Distinct (%)5.2%
Missing17
Missing (%)1.7%
Memory size57.1 KiB
2023-12-09T21:01:08.592660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.75076297
Min length1

Characters and Unicode

Total characters1721
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
4 76
 
7.7%
1 35
 
3.6%
17 33
 
3.4%
8 33
 
3.4%
36 29
 
3.0%
37 27
 
2.7%
41 25
 
2.5%
26 24
 
2.4%
15 24
 
2.4%
16 23
 
2.3%
Other values (41) 654
66.5%
2023-12-09T21:01:08.948907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 304
17.7%
4 294
17.1%
3 281
16.3%
2 252
14.6%
5 117
 
6.8%
7 104
 
6.0%
6 102
 
5.9%
8 99
 
5.8%
9 92
 
5.3%
0 76
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1721
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 304
17.7%
4 294
17.1%
3 281
16.3%
2 252
14.6%
5 117
 
6.8%
7 104
 
6.0%
6 102
 
5.9%
8 99
 
5.8%
9 92
 
5.3%
0 76
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
Common 1721
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 304
17.7%
4 294
17.1%
3 281
16.3%
2 252
14.6%
5 117
 
6.8%
7 104
 
6.0%
6 102
 
5.9%
8 99
 
5.8%
9 92
 
5.3%
0 76
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1721
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 304
17.7%
4 294
17.1%
3 281
16.3%
2 252
14.6%
5 117
 
6.8%
7 104
 
6.0%
6 102
 
5.9%
8 99
 
5.8%
9 92
 
5.3%
0 76
 
4.4%

census_tract
Text

MISSING 

Distinct597
Distinct (%)60.7%
Missing17
Missing (%)1.7%
Memory size58.4 KiB
2023-12-09T21:01:09.456936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.180061038
Min length1

Characters and Unicode

Total characters3126
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique377 ?
Unique (%)38.4%

Sample

1st row119
2nd row88
3rd row125
4th row90
5th row119
ValueCountFrequency (%)
102 12
 
1.2%
11202 8
 
0.8%
39 7
 
0.7%
119 7
 
0.7%
104 7
 
0.7%
33 6
 
0.6%
271 6
 
0.6%
92 6
 
0.6%
16 6
 
0.6%
131 6
 
0.6%
Other values (587) 912
92.8%
2023-12-09T21:01:10.096953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 591
18.9%
2 443
14.2%
0 350
11.2%
3 334
10.7%
4 277
8.9%
9 257
8.2%
5 234
 
7.5%
7 229
 
7.3%
8 212
 
6.8%
6 199
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3126
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 591
18.9%
2 443
14.2%
0 350
11.2%
3 334
10.7%
4 277
8.9%
9 257
8.2%
5 234
 
7.5%
7 229
 
7.3%
8 212
 
6.8%
6 199
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
Common 3126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 591
18.9%
2 443
14.2%
0 350
11.2%
3 334
10.7%
4 277
8.9%
9 257
8.2%
5 234
 
7.5%
7 229
 
7.3%
8 212
 
6.8%
6 199
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 591
18.9%
2 443
14.2%
0 350
11.2%
3 334
10.7%
4 277
8.9%
9 257
8.2%
5 234
 
7.5%
7 229
 
7.3%
8 212
 
6.8%
6 199
 
6.4%

nta
Text

MISSING 

Distinct188
Distinct (%)19.1%
Missing17
Missing (%)1.7%
Memory size74.2 KiB
2023-12-09T21:01:10.365380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length39
Mean length19.59104781
Min length6

Characters and Unicode

Total characters19258
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)2.0%

Sample

1st rowMidtown-Midtown South
2nd rowTurtle Bay-East Midtown
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowMidtown-Midtown South
ValueCountFrequency (%)
south 111
 
5.0%
east 108
 
4.8%
park 90
 
4.0%
heights 75
 
3.4%
north 62
 
2.8%
midtown-midtown 53
 
2.4%
hill 51
 
2.3%
west 46
 
2.1%
harlem 39
 
1.7%
new 35
 
1.6%
Other values (250) 1564
70.0%
2023-12-09T21:01:10.778406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1494
 
7.8%
t 1369
 
7.1%
o 1338
 
6.9%
a 1283
 
6.7%
1251
 
6.5%
r 1160
 
6.0%
n 1137
 
5.9%
i 1068
 
5.5%
l 974
 
5.1%
s 957
 
5.0%
Other values (45) 7227
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14502
75.3%
Uppercase Letter 2870
 
14.9%
Space Separator 1251
 
6.5%
Dash Punctuation 599
 
3.1%
Other Punctuation 22
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1494
10.3%
t 1369
9.4%
o 1338
9.2%
a 1283
8.8%
r 1160
 
8.0%
n 1137
 
7.8%
i 1068
 
7.4%
l 974
 
6.7%
s 957
 
6.6%
h 586
 
4.0%
Other values (15) 3136
21.6%
Uppercase Letter
ValueCountFrequency (%)
H 359
12.5%
B 300
10.5%
M 294
10.2%
S 286
10.0%
C 229
 
8.0%
P 201
 
7.0%
E 169
 
5.9%
N 130
 
4.5%
W 123
 
4.3%
G 106
 
3.7%
Other values (14) 673
23.4%
Other Punctuation
ValueCountFrequency (%)
. 13
59.1%
' 9
40.9%
Space Separator
ValueCountFrequency (%)
1251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 599
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17372
90.2%
Common 1886
 
9.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1494
 
8.6%
t 1369
 
7.9%
o 1338
 
7.7%
a 1283
 
7.4%
r 1160
 
6.7%
n 1137
 
6.5%
i 1068
 
6.1%
l 974
 
5.6%
s 957
 
5.5%
h 586
 
3.4%
Other values (39) 6006
34.6%
Common
ValueCountFrequency (%)
1251
66.3%
- 599
31.8%
. 13
 
0.7%
' 9
 
0.5%
( 7
 
0.4%
) 7
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19258
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1494
 
7.8%
t 1369
 
7.1%
o 1338
 
6.9%
a 1283
 
6.7%
1251
 
6.5%
r 1160
 
6.0%
n 1137
 
5.9%
i 1068
 
5.5%
l 974
 
5.1%
s 957
 
5.0%
Other values (45) 7227
37.5%